R : Copyright 2002, The R Development Core Team Version 1.5.1 (2002-06-17) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type `license()' or `licence()' for distribution details. R is a collaborative project with many contributors. Type `contributors()' for more information. Type `demo()' for some demos, `help()' for on-line help, or `help.start()' for a HTML browser interface to help. Type `q()' to quit R. > invisible(options(echo = TRUE)) > chr <- read.table("../lrn/cty_chr.txt", + header=F,colClasses="character",col.names=c("file","feature","type")) > num <- read.table("../lrn/cty_num.txt", + header=F,colClasses="character",col.names=c("file","feature","type")) > > target <- read.table("../lrn/num/472.dat",header=T,colClasses="numeric") > > nchr <- length(chr$file) > nnum <- length(num$file) > > for (i in 1:nchr) { + filename <- paste("../lrn/chr/",chr$file[i],".dat",sep="") + + print("---------------------------------------------------------------------") + print(c(chr$feature[i],filename)) + + tmp <- read.table(filename,header=T,colClasses="character",blank.lines.skip=F) + + y <- target[,1] + x <- tmp[,1] + + y <- y[x!=""] + x <- x[x!=""] + + x <- as.factor(x) + + nl <- nlevels(x) + print(paste("nlevels = ",nl)) + + if (nl == 1) { + print("too few levels") + } + else if (nl < 25) { + dat <- data.frame(y=y,x=x) + rm(tmp,x,y) + fit <- lm(y~x,dat) + print(anova(fit)) + } + else if (nl < 100) { + set.seed(100543) + idx <- sample(1:length(x),15000) + dat <- data.frame(y=y[idx],x=x[idx]) + rm(tmp,x,y,idx) + fit <- lm(y~x,dat) + print(anova(fit)) + } + else { + print("too many levels") + } + + print("---------------------------------------------------------------------") + print(c(chr$feature[i],filename)) + + tmp <- read.table(filename,header=T,colClasses="character",blank.lines.skip=F) + + y <- target[,1] + x <- tmp[,1] + + x <- as.factor(x) + + nl <- nlevels(x) + print(paste("nlevels = ",nl)) + + if (nl == 1) { + print("too few levels") + } + else if (nl < 25) { + dat <- data.frame(y=y,x=x) + rm(tmp,x,y) + fit <- lm(y~x,dat) + print(anova(fit)) + } + else if (nl < 100) { + set.seed(100543) + idx <- sample(1:length(x),15000) + dat <- data.frame(y=y[idx],x=x[idx]) + rm(tmp,x,y,idx) + fit <- lm(y~x,dat) + print(anova(fit)) + } + else { + print("too many levels") + } + } [1] "---------------------------------------------------------------------" [1] "OSOURCE" "../lrn/chr/2.dat" [1] "nlevels = 858" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "OSOURCE" "../lrn/chr/2.dat" [1] "nlevels = 859" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "STATE" "../lrn/chr/4.dat" [1] "nlevels = 56" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 50 1635 33 1.916 0.0001086 *** Residuals 14949 255102 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "STATE" "../lrn/chr/4.dat" [1] "nlevels = 56" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 50 1635 33 1.916 0.0001086 *** Residuals 14949 255102 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ZIP" "../lrn/chr/5.dat" [1] "nlevels = 14597" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "ZIP" "../lrn/chr/5.dat" [1] "nlevels = 14597" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "MAILCODE" "../lrn/chr/6.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "MAILCODE" "../lrn/chr/6.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 152 152 7.5621 0.005963 ** Residuals 66898 1344486 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CTYSTATE" "../lrn/chr/7.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1.6 1.6 0.1152 0.7344 Residuals 1018 14499.6 14.2 [1] "---------------------------------------------------------------------" [1] "CTYSTATE" "../lrn/chr/7.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 25 12 0.6173 0.5394 Residuals 66897 1344613 20 [1] "---------------------------------------------------------------------" [1] "NOEXCH" "../lrn/chr/9.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 5 2 0.115 0.8914 Residuals 66893 1344631 20 [1] "---------------------------------------------------------------------" [1] "NOEXCH" "../lrn/chr/9.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 7 2 0.118 0.9496 Residuals 66896 1344631 20 [1] "---------------------------------------------------------------------" [1] "RECINHSE" "../lrn/chr/10.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RECINHSE" "../lrn/chr/10.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1062 1062 52.86 3.621e-13 *** Residuals 66898 1343576 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RECP3" "../lrn/chr/11.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RECP3" "../lrn/chr/11.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 637 637 31.700 1.807e-08 *** Residuals 66898 1344001 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RECPGVG" "../lrn/chr/12.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RECPGVG" "../lrn/chr/12.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2247 2247 112.00 < 2.2e-16 *** Residuals 66898 1342390 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RECSWEEP" "../lrn/chr/13.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RECSWEEP" "../lrn/chr/13.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 28 28 1.3975 0.2371 Residuals 66898 1344610 20 [1] "---------------------------------------------------------------------" [1] "MDMAUD" "../lrn/chr/14.dat" [1] "nlevels = 26" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 11 6887 626 37.56 < 2.2e-16 *** Residuals 14988 249849 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD" "../lrn/chr/14.dat" [1] "nlevels = 26" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 11 6887 626 37.56 < 2.2e-16 *** Residuals 14988 249849 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DOMAIN" "../lrn/chr/15.dat" [1] "nlevels = 16" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 15 1596 106 5.5653 1.636e-11 *** Residuals 65246 1247456 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DOMAIN" "../lrn/chr/15.dat" [1] "nlevels = 17" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 16 1838 115 5.7228 1.317e-12 *** Residuals 66883 1342799 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CLUSTER" "../lrn/chr/16.dat" [1] "nlevels = 53" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 52 1202 23 1.2185 0.1348 Residuals 14947 283466 19 [1] "---------------------------------------------------------------------" [1] "CLUSTER" "../lrn/chr/16.dat" [1] "nlevels = 54" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 53 1466 28 1.62 0.002933 ** Residuals 14946 255270 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEFLAG" "../lrn/chr/18.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 136 136 6.9591 0.008342 ** Residuals 46203 905269 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEFLAG" "../lrn/chr/18.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 185 93 4.6116 0.00994 ** Residuals 66897 1344452 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HOMEOWNR" "../lrn/chr/19.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 46 46 2.493 0.1144 Residuals 51283 940109 18 [1] "---------------------------------------------------------------------" [1] "HOMEOWNR" "../lrn/chr/19.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 85 43 2.1224 0.1197 Residuals 66897 1344552 20 [1] "---------------------------------------------------------------------" [1] "CHILD03" "../lrn/chr/20.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 10.5 5.3 0.5577 0.5728 Residuals 804 7576.2 9.4 [1] "---------------------------------------------------------------------" [1] "CHILD03" "../lrn/chr/20.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 53 18 0.8752 0.453 Residuals 66896 1344585 20 [1] "---------------------------------------------------------------------" [1] "CHILD07" "../lrn/chr/21.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 10.0 5.0 0.4029 0.6685 Residuals 1128 13965.2 12.4 [1] "---------------------------------------------------------------------" [1] "CHILD07" "../lrn/chr/21.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 30 10 0.5016 0.6811 Residuals 66896 1344608 20 [1] "---------------------------------------------------------------------" [1] "CHILD12" "../lrn/chr/22.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 3.9 1.9 0.1873 0.8292 Residuals 1282 13339.9 10.4 [1] "---------------------------------------------------------------------" [1] "CHILD12" "../lrn/chr/22.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 53 18 0.8844 0.4482 Residuals 66896 1344584 20 [1] "---------------------------------------------------------------------" [1] "CHILD18" "../lrn/chr/23.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 37.6 18.8 1.4898 0.2257 Residuals 1982 24983.5 12.6 [1] "---------------------------------------------------------------------" [1] "CHILD18" "../lrn/chr/23.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 49 16 0.8108 0.4876 Residuals 66896 1344589 20 [1] "---------------------------------------------------------------------" [1] "GENDER" "../lrn/chr/26.dat" [1] "nlevels = 6" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 5 4930 986 51.22 < 2.2e-16 *** Residuals 64798 1247390 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "GENDER" "../lrn/chr/26.dat" [1] "nlevels = 7" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 6 5021 837 41.787 < 2.2e-16 *** Residuals 66893 1339617 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DATASRCE" "../lrn/chr/43.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 4 2 0.1072 0.8984 Residuals 51908 975481 19 [1] "---------------------------------------------------------------------" [1] "DATASRCE" "../lrn/chr/43.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 18 6 0.3046 0.822 Residuals 66896 1344619 20 [1] "---------------------------------------------------------------------" [1] "SOLP3" "../lrn/chr/51.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 60.04 20.01 1.646 0.1823 Residuals 123 1495.49 12.16 [1] "---------------------------------------------------------------------" [1] "SOLP3" "../lrn/chr/51.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 60 15 0.7501 0.5578 Residuals 66895 1344577 20 [1] "---------------------------------------------------------------------" [1] "SOLIH" "../lrn/chr/52.dat" [1] "nlevels = 7" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 6 233 39 0.752 0.6078 Residuals 4363 225319 52 [1] "---------------------------------------------------------------------" [1] "SOLIH" "../lrn/chr/52.dat" [1] "nlevels = 8" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 7 1118 160 7.9513 1.114e-09 *** Residuals 66892 1343520 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MAJOR" "../lrn/chr/53.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "MAJOR" "../lrn/chr/53.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4428 4428 221.03 < 2.2e-16 *** Residuals 66898 1340210 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "GEOCODE" "../lrn/chr/55.dat" [1] "nlevels = 7" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 6 832 139 4.7244 8.198e-05 *** Residuals 10646 312319 29 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "GEOCODE" "../lrn/chr/55.dat" [1] "nlevels = 8" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 7 1523 218 10.834 9.887e-14 *** Residuals 66892 1343115 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "COLLECT1" "../lrn/chr/56.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "COLLECT1" "../lrn/chr/56.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.02339 0.02339 0.0012 0.9728 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "VETERANS" "../lrn/chr/57.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "VETERANS" "../lrn/chr/57.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0353 0.851 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "BIBLE" "../lrn/chr/58.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "BIBLE" "../lrn/chr/58.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1284 0.72 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "CATLG" "../lrn/chr/59.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "CATLG" "../lrn/chr/59.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 16 16 0.8005 0.3710 Residuals 66898 1344622 20 [1] "---------------------------------------------------------------------" [1] "HOMEE" "../lrn/chr/60.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "HOMEE" "../lrn/chr/60.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 6 6 0.2837 0.5943 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "PETS" "../lrn/chr/61.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "PETS" "../lrn/chr/61.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.3402 0.5597 Residuals 66898 1344631 20 [1] "---------------------------------------------------------------------" [1] "CDPLAY" "../lrn/chr/62.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "CDPLAY" "../lrn/chr/62.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0495 0.8239 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "STEREO" "../lrn/chr/63.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "STEREO" "../lrn/chr/63.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 37 37 1.8194 0.1774 Residuals 66898 1344601 20 [1] "---------------------------------------------------------------------" [1] "PCOWNERS" "../lrn/chr/64.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "PCOWNERS" "../lrn/chr/64.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 37 37 1.8478 0.1740 Residuals 66898 1344601 20 [1] "---------------------------------------------------------------------" [1] "PHOTO" "../lrn/chr/65.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "PHOTO" "../lrn/chr/65.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1518 0.6969 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "CRAFTS" "../lrn/chr/66.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "CRAFTS" "../lrn/chr/66.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 23 23 1.1585 0.2818 Residuals 66898 1344614 20 [1] "---------------------------------------------------------------------" [1] "FISHER" "../lrn/chr/67.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "FISHER" "../lrn/chr/67.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 38 38 1.8947 0.1687 Residuals 66898 1344600 20 [1] "---------------------------------------------------------------------" [1] "GARDENIN" "../lrn/chr/68.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "GARDENIN" "../lrn/chr/68.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.4192 0.5174 Residuals 66898 1344629 20 [1] "---------------------------------------------------------------------" [1] "BOATS" "../lrn/chr/69.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "BOATS" "../lrn/chr/69.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.2248 0.2248 0.0112 0.9158 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "WALKER" "../lrn/chr/70.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "WALKER" "../lrn/chr/70.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1127 0.737 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "KIDSTUFF" "../lrn/chr/71.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "KIDSTUFF" "../lrn/chr/71.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 20 20 1.0097 0.315 Residuals 66898 1344617 20 [1] "---------------------------------------------------------------------" [1] "CARDS" "../lrn/chr/72.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "CARDS" "../lrn/chr/72.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.004777 0.004777 2e-04 0.9877 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "PLATES" "../lrn/chr/73.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "PLATES" "../lrn/chr/73.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.0892 0.7652 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "LIFESRC" "../lrn/chr/74.dat" [1] "nlevels = 3" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 2 46 23 1.4055 0.2453 Residuals 29113 479289 16 [1] "---------------------------------------------------------------------" [1] "LIFESRC" "../lrn/chr/74.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 46 15 0.7675 0.512 Residuals 66896 1344591 20 [1] "---------------------------------------------------------------------" [1] "PEPSTRFL" "../lrn/chr/75.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "PEPSTRFL" "../lrn/chr/75.dat" [1] "nlevels = 2" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 249 249 12.412 0.0004269 *** Residuals 66898 1344388 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_2" "../lrn/chr/385.dat" [1] "nlevels = 14" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 13 2801 215 10.740 < 2.2e-16 *** Residuals 66886 1341837 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_2" "../lrn/chr/385.dat" [1] "nlevels = 14" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 13 2801 215 10.740 < 2.2e-16 *** Residuals 66886 1341837 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_3" "../lrn/chr/386.dat" [1] "nlevels = 69" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 63 1274 20 0.9107 0.676 Residuals 14936 331588 22 [1] "---------------------------------------------------------------------" [1] "RFA_3" "../lrn/chr/386.dat" [1] "nlevels = 70" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 63 1293 21 1.2 0.1333 Residuals 14936 255444 17 [1] "---------------------------------------------------------------------" [1] "RFA_4" "../lrn/chr/387.dat" [1] "nlevels = 63" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 57 1193 21 1.0616 0.3507 Residuals 14942 294536 20 [1] "---------------------------------------------------------------------" [1] "RFA_4" "../lrn/chr/387.dat" [1] "nlevels = 64" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 57 1256 22 1.2887 0.07059 . Residuals 14942 255481 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_5" "../lrn/chr/388.dat" [1] "nlevels = 40" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 39 2150 55 2.5565 3.443e-07 *** Residuals 14960 322567 22 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_5" "../lrn/chr/388.dat" [1] "nlevels = 41" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 39 1568 40 2.3576 3.839e-06 *** Residuals 14960 255168 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_6" "../lrn/chr/389.dat" [1] "nlevels = 106" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_6" "../lrn/chr/389.dat" [1] "nlevels = 107" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_7" "../lrn/chr/390.dat" [1] "nlevels = 103" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_7" "../lrn/chr/390.dat" [1] "nlevels = 104" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_8" "../lrn/chr/391.dat" [1] "nlevels = 104" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_8" "../lrn/chr/391.dat" [1] "nlevels = 105" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_9" "../lrn/chr/392.dat" [1] "nlevels = 105" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_9" "../lrn/chr/392.dat" [1] "nlevels = 106" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_10" "../lrn/chr/393.dat" [1] "nlevels = 92" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 82 1850 23 1.1905 0.1156 Residuals 14917 282612 19 [1] "---------------------------------------------------------------------" [1] "RFA_10" "../lrn/chr/393.dat" [1] "nlevels = 93" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 78 1625 21 1.2185 0.0927 . Residuals 14921 255112 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_11" "../lrn/chr/394.dat" [1] "nlevels = 99" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 96 1666 17 0.8461 0.8589 Residuals 14903 305606 21 [1] "---------------------------------------------------------------------" [1] "RFA_11" "../lrn/chr/394.dat" [1] "nlevels = 100" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_12" "../lrn/chr/395.dat" [1] "nlevels = 105" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_12" "../lrn/chr/395.dat" [1] "nlevels = 106" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_13" "../lrn/chr/396.dat" [1] "nlevels = 83" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 72 1061 15 0.9077 0.6967 Residuals 14927 242248 16 [1] "---------------------------------------------------------------------" [1] "RFA_13" "../lrn/chr/396.dat" [1] "nlevels = 84" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 70 6927 99 5.914 < 2.2e-16 *** Residuals 14929 249809 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_14" "../lrn/chr/397.dat" [1] "nlevels = 91" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 86 1918 22 0.9456 0.6223 Residuals 14913 351795 24 [1] "---------------------------------------------------------------------" [1] "RFA_14" "../lrn/chr/397.dat" [1] "nlevels = 92" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 86 1931 22 1.3144 0.02737 * Residuals 14913 254805 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_15" "../lrn/chr/398.dat" [1] "nlevels = 33" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 32 846 26 1.2866 0.1287 Residuals 14967 307474 21 [1] "---------------------------------------------------------------------" [1] "RFA_15" "../lrn/chr/398.dat" [1] "nlevels = 34" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 32 492 15 0.8982 0.6321 Residuals 14967 256245 17 [1] "---------------------------------------------------------------------" [1] "RFA_16" "../lrn/chr/399.dat" [1] "nlevels = 120" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_16" "../lrn/chr/399.dat" [1] "nlevels = 121" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_17" "../lrn/chr/400.dat" [1] "nlevels = 115" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_17" "../lrn/chr/400.dat" [1] "nlevels = 116" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_18" "../lrn/chr/401.dat" [1] "nlevels = 118" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_18" "../lrn/chr/401.dat" [1] "nlevels = 119" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_19" "../lrn/chr/402.dat" [1] "nlevels = 106" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_19" "../lrn/chr/402.dat" [1] "nlevels = 107" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_20" "../lrn/chr/403.dat" [1] "nlevels = 79" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 76 2183 29 1.4136 0.01048 * Residuals 14923 303196 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_20" "../lrn/chr/403.dat" [1] "nlevels = 80" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 73 971 13 0.7759 0.921 Residuals 14926 255766 17 [1] "---------------------------------------------------------------------" [1] "RFA_21" "../lrn/chr/404.dat" [1] "nlevels = 100" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_21" "../lrn/chr/404.dat" [1] "nlevels = 101" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_22" "../lrn/chr/405.dat" [1] "nlevels = 115" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_22" "../lrn/chr/405.dat" [1] "nlevels = 116" [1] "too many levels" [1] "---------------------------------------------------------------------" [1] "RFA_23" "../lrn/chr/406.dat" [1] "nlevels = 78" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 72 2873 40 1.7742 6.121e-05 *** Residuals 14927 335748 22 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_23" "../lrn/chr/406.dat" [1] "nlevels = 79" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 65 1768 27 1.5929 0.001727 ** Residuals 14934 254969 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_24" "../lrn/chr/407.dat" [1] "nlevels = 96" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 88 5097 58 2.3919 6.357e-12 *** Residuals 14911 361091 24 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_24" "../lrn/chr/407.dat" [1] "nlevels = 97" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 85 2082 24 1.4342 0.005525 ** Residuals 14914 254655 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_2R" "../lrn/chr/474.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RFA_2R" "../lrn/chr/474.dat" [1] "nlevels = 1" [1] "too few levels" [1] "---------------------------------------------------------------------" [1] "RFA_2F" "../lrn/chr/475.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 112 37 1.8531 0.1352 Residuals 66896 1344526 20 [1] "---------------------------------------------------------------------" [1] "RFA_2F" "../lrn/chr/475.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 112 37 1.8531 0.1352 Residuals 66896 1344526 20 [1] "---------------------------------------------------------------------" [1] "RFA_2A" "../lrn/chr/476.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 1917 639 31.834 < 2.2e-16 *** Residuals 66896 1342721 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RFA_2A" "../lrn/chr/476.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 1917 639 31.834 < 2.2e-16 *** Residuals 66896 1342721 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_R" "../lrn/chr/477.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 5651 1413 70.579 < 2.2e-16 *** Residuals 66895 1338987 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_R" "../lrn/chr/477.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 5651 1413 70.579 < 2.2e-16 *** Residuals 66895 1338987 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_F" "../lrn/chr/478.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 5208 1736 86.71 < 2.2e-16 *** Residuals 66896 1339429 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_F" "../lrn/chr/478.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 5208 1736 86.71 < 2.2e-16 *** Residuals 66896 1339429 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_A" "../lrn/chr/479.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 5025 1256 62.732 < 2.2e-16 *** Residuals 66895 1339613 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MDMAUD_A" "../lrn/chr/479.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 5025 1256 62.732 < 2.2e-16 *** Residuals 66895 1339613 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "GEOCODE2" "../lrn/chr/481.dat" [1] "nlevels = 4" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 3 551 184 9.1406 4.815e-06 *** Residuals 66662 1340444 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "GEOCODE2" "../lrn/chr/481.dat" [1] "nlevels = 5" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 4 557 139 6.9322 1.419e-05 *** Residuals 66895 1344081 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 > > for (i in 1:nnum) { + filename <- paste("../lrn/num/",num$file[i],".dat",sep="") + print("---------------------------------------------------------------------") + print(c(num$feature[i],filename)) + + tmp <- read.table(filename,header=T,colClasses="numeric",blank.lines.skip=F) + + y <- target[,1] + x <- tmp[,1] + + y <- y[x!=""] + x <- x[x!=""] + + dat <- data.frame(y=y,x=x) + rm(tmp,x,y) + fit <- lm(y~x,dat) + print(anova(fit)) + } [1] "---------------------------------------------------------------------" [1] "ODATEDW" "../lrn/num/1.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 64 64 3.1772 0.07468 . Residuals 66898 1344574 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TCODE" "../lrn/num/3.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 13 13 0.6231 0.4299 Residuals 66898 1344625 20 [1] "---------------------------------------------------------------------" [1] "DOB" "../lrn/num/8.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 6 6 0.2829 0.5948 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "AGE" "../lrn/num/17.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.436 0.5091 Residuals 50317 993376 20 [1] "---------------------------------------------------------------------" [1] "NUMCHLD" "../lrn/num/24.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.3179 0.3179 0.0258 0.8724 Residuals 8669 106783 12 [1] "---------------------------------------------------------------------" [1] "INCOME" "../lrn/num/25.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 997 997 53.089 3.233e-13 *** Residuals 51904 974486 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "WEALTH1" "../lrn/num/27.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 247 247 13.428 0.0002483 *** Residuals 35417 651771 18 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HIT" "../lrn/num/28.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 42 42 2.1118 0.1462 Residuals 66898 1344595 20 [1] "---------------------------------------------------------------------" [1] "MBCRAFT" "../lrn/num/29.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 30 30 1.5699 0.2102 Residuals 29815 572670 19 [1] "---------------------------------------------------------------------" [1] "MBGARDEN" "../lrn/num/30.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.07464 0.07464 0.0039 0.9503 Residuals 29815 572700 19 [1] "---------------------------------------------------------------------" [1] "MBBOOKS" "../lrn/num/31.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2767 0.5989 Residuals 29815 572695 19 [1] "---------------------------------------------------------------------" [1] "MBCOLECT" "../lrn/num/32.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0324 0.857 Residuals 29776 571823 19 [1] "---------------------------------------------------------------------" [1] "MAGFAML" "../lrn/num/33.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 11 11 0.5496 0.4585 Residuals 29815 572690 19 [1] "---------------------------------------------------------------------" [1] "MAGFEM" "../lrn/num/34.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 23 23 1.1957 0.2742 Residuals 29815 572677 19 [1] "---------------------------------------------------------------------" [1] "MAGMALE" "../lrn/num/35.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 576 576 30.008 4.338e-08 *** Residuals 29815 572124 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "PUBGARDN" "../lrn/num/36.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0304 0.8616 Residuals 29815 572700 19 [1] "---------------------------------------------------------------------" [1] "PUBCULIN" "../lrn/num/37.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.1600 0.1600 0.0083 0.9273 Residuals 29815 572700 19 [1] "---------------------------------------------------------------------" [1] "PUBHLTH" "../lrn/num/38.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 107 107 5.5692 0.01829 * Residuals 29815 572593 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "PUBDOITY" "../lrn/num/39.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1189 0.7302 Residuals 29815 572698 19 [1] "---------------------------------------------------------------------" [1] "PUBNEWFN" "../lrn/num/40.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 33 33 1.7031 0.1919 Residuals 29815 572667 19 [1] "---------------------------------------------------------------------" [1] "PUBPHOTO" "../lrn/num/41.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4 4 0.1991 0.6554 Residuals 29815 572696 19 [1] "---------------------------------------------------------------------" [1] "PUBOPP" "../lrn/num/42.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 10 10 0.541 0.462 Residuals 29815 572690 19 [1] "---------------------------------------------------------------------" [1] "MALEMILI" "../lrn/num/44.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2576 0.6118 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "MALEVET" "../lrn/num/45.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1178 0.7314 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "VIETVETS" "../lrn/num/46.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 43 43 2.1206 0.1453 Residuals 66898 1344595 20 [1] "---------------------------------------------------------------------" [1] "WWIIVETS" "../lrn/num/47.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 10 10 0.5111 0.4747 Residuals 66898 1344627 20 [1] "---------------------------------------------------------------------" [1] "LOCALGOV" "../lrn/num/48.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 105 105 5.2028 0.02255 * Residuals 66898 1344533 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "STATEGOV" "../lrn/num/49.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.102 0.7494 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "FEDGOV" "../lrn/num/50.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 74 74 3.678 0.05514 . Residuals 66898 1344564 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "WEALTH2" "../lrn/num/54.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 849 849 37.518 9.152e-10 *** Residuals 36235 819819 23 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POP901" "../lrn/num/76.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 52 52 2.5864 0.1078 Residuals 66898 1344586 20 [1] "---------------------------------------------------------------------" [1] "POP902" "../lrn/num/77.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 51 51 2.5366 0.1112 Residuals 66898 1344587 20 [1] "---------------------------------------------------------------------" [1] "POP903" "../lrn/num/78.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 31 31 1.5352 0.2153 Residuals 66898 1344607 20 [1] "---------------------------------------------------------------------" [1] "POP90C1" "../lrn/num/79.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 317 317 15.791 7.081e-05 *** Residuals 66898 1344320 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POP90C2" "../lrn/num/80.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 136 136 6.7722 0.00926 ** Residuals 66898 1344502 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POP90C3" "../lrn/num/81.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 126 126 6.2723 0.01227 * Residuals 66898 1344512 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POP90C4" "../lrn/num/82.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.4592 0.4592 0.0228 0.8799 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "POP90C5" "../lrn/num/83.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 15 15 0.7541 0.3852 Residuals 66898 1344623 20 [1] "---------------------------------------------------------------------" [1] "ETH1" "../lrn/num/84.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 67 67 3.3279 0.06812 . Residuals 66898 1344571 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH2" "../lrn/num/85.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 167 167 8.2892 0.003989 ** Residuals 66898 1344471 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH3" "../lrn/num/86.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 17 17 0.8703 0.3509 Residuals 66898 1344620 20 [1] "---------------------------------------------------------------------" [1] "ETH4" "../lrn/num/87.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 209 209 10.412 0.001253 ** Residuals 66898 1344429 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH5" "../lrn/num/88.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0707 0.7903 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "ETH6" "../lrn/num/89.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 80 80 3.982 0.04599 * Residuals 66898 1344558 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH7" "../lrn/num/90.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 166 166 8.2768 0.004017 ** Residuals 66898 1344471 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH8" "../lrn/num/91.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 177 177 8.7876 0.003034 ** Residuals 66898 1344461 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH9" "../lrn/num/92.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2276 0.6333 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "ETH10" "../lrn/num/93.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 511 511 25.418 4.629e-07 *** Residuals 66898 1344127 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETH11" "../lrn/num/94.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2372 0.6263 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "ETH12" "../lrn/num/95.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 16 16 0.8102 0.3681 Residuals 66898 1344621 20 [1] "---------------------------------------------------------------------" [1] "ETH13" "../lrn/num/96.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 13 13 0.6544 0.4186 Residuals 66898 1344625 20 [1] "---------------------------------------------------------------------" [1] "ETH14" "../lrn/num/97.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1353 0.713 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "ETH15" "../lrn/num/98.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0435 0.8348 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "ETH16" "../lrn/num/99.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 66 66 3.2636 0.07084 . Residuals 66898 1344572 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE901" "../lrn/num/100.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 561 561 27.926 1.265e-07 *** Residuals 66898 1344077 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE902" "../lrn/num/101.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 270 270 13.436 0.0002471 *** Residuals 66898 1344368 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE903" "../lrn/num/102.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 181 181 9.0141 0.00268 ** Residuals 66898 1344457 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE904" "../lrn/num/103.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 398 398 19.789 8.66e-06 *** Residuals 66898 1344240 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE905" "../lrn/num/104.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 183 183 9.0924 0.002568 ** Residuals 66898 1344455 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE906" "../lrn/num/105.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 119 119 5.9359 0.01484 * Residuals 66898 1344518 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGE907" "../lrn/num/106.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 465 465 23.128 1.519e-06 *** Residuals 66898 1344173 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CHIL1" "../lrn/num/107.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.077 0.7814 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "CHIL2" "../lrn/num/108.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 52 52 2.5852 0.1079 Residuals 66898 1344586 20 [1] "---------------------------------------------------------------------" [1] "CHIL3" "../lrn/num/109.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 43 43 2.1237 0.1450 Residuals 66898 1344595 20 [1] "---------------------------------------------------------------------" [1] "AGEC1" "../lrn/num/110.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 150 150 7.4678 0.006283 ** Residuals 66898 1344488 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEC2" "../lrn/num/111.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 252 252 12.551 0.0003963 *** Residuals 66898 1344386 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEC3" "../lrn/num/112.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 38 38 1.8907 0.1691 Residuals 66898 1344600 20 [1] "---------------------------------------------------------------------" [1] "AGEC4" "../lrn/num/113.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 75 75 3.7505 0.0528 . Residuals 66898 1344562 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEC5" "../lrn/num/114.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2733 0.6011 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "AGEC6" "../lrn/num/115.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 145 145 7.2346 0.007153 ** Residuals 66898 1344492 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AGEC7" "../lrn/num/116.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 106 106 5.2555 0.02188 * Residuals 66898 1344532 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CHILC1" "../lrn/num/117.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 11 11 0.5514 0.4578 Residuals 66898 1344627 20 [1] "---------------------------------------------------------------------" [1] "CHILC2" "../lrn/num/118.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.0888 0.7658 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "CHILC3" "../lrn/num/119.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 66 66 3.2935 0.06956 . Residuals 66898 1344572 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CHILC4" "../lrn/num/120.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 35 35 1.7386 0.1873 Residuals 66898 1344603 20 [1] "---------------------------------------------------------------------" [1] "CHILC5" "../lrn/num/121.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 11 11 0.5654 0.4521 Residuals 66898 1344626 20 [1] "---------------------------------------------------------------------" [1] "HHAGE1" "../lrn/num/122.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 136 136 6.7877 0.009181 ** Residuals 66898 1344501 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHAGE2" "../lrn/num/123.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 19 19 0.9564 0.3281 Residuals 66898 1344619 20 [1] "---------------------------------------------------------------------" [1] "HHAGE3" "../lrn/num/124.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 125 125 6.2337 0.01254 * Residuals 66898 1344512 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHN1" "../lrn/num/125.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.6072 0.4358 Residuals 66898 1344626 20 [1] "---------------------------------------------------------------------" [1] "HHN2" "../lrn/num/126.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 330 330 16.399 5.136e-05 *** Residuals 66898 1344308 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHN3" "../lrn/num/127.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 136 136 6.7508 0.009372 ** Residuals 66898 1344502 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHN4" "../lrn/num/128.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 120 120 5.989 0.01440 * Residuals 66898 1344517 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHN5" "../lrn/num/129.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 160 160 7.968 0.004763 ** Residuals 66898 1344478 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHN6" "../lrn/num/130.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 92 92 4.5822 0.03231 * Residuals 66898 1344546 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MARR1" "../lrn/num/131.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 75 75 3.714 0.05396 . Residuals 66898 1344563 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MARR2" "../lrn/num/132.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 76 76 3.7828 0.05179 . Residuals 66898 1344562 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MARR3" "../lrn/num/133.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.1426 0.1426 0.0071 0.9329 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "MARR4" "../lrn/num/134.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 22 22 1.1033 0.2935 Residuals 66898 1344616 20 [1] "---------------------------------------------------------------------" [1] "HHP1" "../lrn/num/135.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 35 35 1.7439 0.1867 Residuals 66898 1344603 20 [1] "---------------------------------------------------------------------" [1] "HHP2" "../lrn/num/136.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 75 75 3.7156 0.05391 . Residuals 66898 1344563 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DW1" "../lrn/num/137.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.5754 0.4481 Residuals 66898 1344626 20 [1] "---------------------------------------------------------------------" [1] "DW2" "../lrn/num/138.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2641 0.6073 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "DW3" "../lrn/num/139.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 83 83 4.1265 0.04222 * Residuals 66898 1344555 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DW4" "../lrn/num/140.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 32 32 1.6167 0.2036 Residuals 66898 1344605 20 [1] "---------------------------------------------------------------------" [1] "DW5" "../lrn/num/141.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 65 65 3.2575 0.0711 . Residuals 66898 1344572 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DW6" "../lrn/num/142.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 76 76 3.7642 0.05236 . Residuals 66898 1344562 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DW7" "../lrn/num/143.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 11 11 0.5271 0.4678 Residuals 66898 1344627 20 [1] "---------------------------------------------------------------------" [1] "DW8" "../lrn/num/144.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 51 51 2.5149 0.1128 Residuals 66898 1344587 20 [1] "---------------------------------------------------------------------" [1] "DW9" "../lrn/num/145.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.3631 0.5468 Residuals 66898 1344630 20 [1] "---------------------------------------------------------------------" [1] "HV1" "../lrn/num/146.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2639 2639 131.54 < 2.2e-16 *** Residuals 66898 1341999 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HV2" "../lrn/num/147.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2718 2718 135.52 < 2.2e-16 *** Residuals 66898 1341919 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HV3" "../lrn/num/148.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1349 1349 67.178 2.524e-16 *** Residuals 66898 1343289 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HV4" "../lrn/num/149.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1442 1442 71.795 < 2.2e-16 *** Residuals 66898 1343196 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HU1" "../lrn/num/150.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 18 18 0.8936 0.3445 Residuals 66898 1344620 20 [1] "---------------------------------------------------------------------" [1] "HU2" "../lrn/num/151.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.589 0.4428 Residuals 66898 1344626 20 [1] "---------------------------------------------------------------------" [1] "HU3" "../lrn/num/152.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 17 17 0.8352 0.3608 Residuals 66898 1344621 20 [1] "---------------------------------------------------------------------" [1] "HU4" "../lrn/num/153.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.5822 0.4454 Residuals 66898 1344626 20 [1] "---------------------------------------------------------------------" [1] "HU5" "../lrn/num/154.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 21 21 1.0673 0.3016 Residuals 66898 1344616 20 [1] "---------------------------------------------------------------------" [1] "HHD1" "../lrn/num/155.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 300 300 14.939 0.0001111 *** Residuals 66898 1344338 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD2" "../lrn/num/156.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 16 16 0.7774 0.3779 Residuals 66898 1344622 20 [1] "---------------------------------------------------------------------" [1] "HHD3" "../lrn/num/157.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 32 32 1.6102 0.2045 Residuals 66898 1344605 20 [1] "---------------------------------------------------------------------" [1] "HHD4" "../lrn/num/158.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 59 59 2.9368 0.08659 . Residuals 66898 1344579 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD5" "../lrn/num/159.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 26 26 1.2703 0.2597 Residuals 66898 1344612 20 [1] "---------------------------------------------------------------------" [1] "HHD6" "../lrn/num/160.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 66 66 3.2634 0.07084 . Residuals 66898 1344572 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD7" "../lrn/num/161.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 661 661 32.886 9.816e-09 *** Residuals 66898 1343977 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD8" "../lrn/num/162.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 186 186 9.2483 0.002358 ** Residuals 66898 1344452 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD9" "../lrn/num/163.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 614 614 30.554 3.259e-08 *** Residuals 66898 1344024 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHD10" "../lrn/num/164.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.3889 0.3889 0.0193 0.8894 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "HHD11" "../lrn/num/165.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 38 38 1.898 0.1683 Residuals 66898 1344600 20 [1] "---------------------------------------------------------------------" [1] "HHD12" "../lrn/num/166.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 92 92 4.5963 0.03204 * Residuals 66898 1344545 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETHC1" "../lrn/num/167.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 105 105 5.2411 0.02206 * Residuals 66898 1344532 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETHC2" "../lrn/num/168.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 15 15 0.7291 0.3932 Residuals 66898 1344623 20 [1] "---------------------------------------------------------------------" [1] "ETHC3" "../lrn/num/169.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 231 231 11.503 0.0006951 *** Residuals 66898 1344407 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETHC4" "../lrn/num/170.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 207 207 10.302 0.001330 ** Residuals 66898 1344431 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETHC5" "../lrn/num/171.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 165 165 8.2203 0.004144 ** Residuals 66898 1344473 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ETHC6" "../lrn/num/172.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 42 42 2.1022 0.1471 Residuals 66898 1344596 20 [1] "---------------------------------------------------------------------" [1] "HVP1" "../lrn/num/173.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2271 2271 113.17 < 2.2e-16 *** Residuals 66898 1342367 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HVP2" "../lrn/num/174.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2056 2056 102.43 < 2.2e-16 *** Residuals 66898 1342582 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HVP3" "../lrn/num/175.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1954 1954 97.356 < 2.2e-16 *** Residuals 66898 1342684 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HVP4" "../lrn/num/176.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1916 1916 95.447 < 2.2e-16 *** Residuals 66898 1342722 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HVP5" "../lrn/num/177.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1434 1434 71.419 < 2.2e-16 *** Residuals 66898 1343204 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HVP6" "../lrn/num/178.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2020 2020 100.67 < 2.2e-16 *** Residuals 66898 1342617 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HUR1" "../lrn/num/179.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1472 0.7012 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "HUR2" "../lrn/num/180.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 240 240 11.939 0.0005501 *** Residuals 66898 1344398 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RHP1" "../lrn/num/181.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 326 326 16.246 5.569e-05 *** Residuals 66898 1344311 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RHP2" "../lrn/num/182.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 186 186 9.2515 0.002354 ** Residuals 66898 1344452 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RHP3" "../lrn/num/183.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 18 18 0.918 0.338 Residuals 66898 1344619 20 [1] "---------------------------------------------------------------------" [1] "RHP4" "../lrn/num/184.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 256 256 12.763 0.0003537 *** Residuals 66898 1344381 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HUPA1" "../lrn/num/185.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0307 0.8608 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "HUPA2" "../lrn/num/186.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 55 55 2.7542 0.097 . Residuals 66898 1344582 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HUPA3" "../lrn/num/187.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 171 171 8.5246 0.003505 ** Residuals 66898 1344466 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HUPA4" "../lrn/num/188.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 81 81 4.0265 0.04479 * Residuals 66898 1344557 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HUPA5" "../lrn/num/189.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 39 39 1.9439 0.1632 Residuals 66898 1344599 20 [1] "---------------------------------------------------------------------" [1] "HUPA6" "../lrn/num/190.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 18 18 0.8945 0.3443 Residuals 66898 1344620 20 [1] "---------------------------------------------------------------------" [1] "HUPA7" "../lrn/num/191.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 91 91 4.5283 0.03334 * Residuals 66898 1344547 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RP1" "../lrn/num/192.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1287 1287 64.075 1.217e-15 *** Residuals 66898 1343351 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RP2" "../lrn/num/193.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1266 1266 63.059 2.037e-15 *** Residuals 66898 1343371 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RP3" "../lrn/num/194.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1008 1008 50.186 1.412e-12 *** Residuals 66898 1343630 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RP4" "../lrn/num/195.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 542 542 26.970 2.072e-07 *** Residuals 66898 1344096 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MSA" "../lrn/num/196.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 344 344 17.098 3.555e-05 *** Residuals 66802 1343689 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADI" "../lrn/num/197.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 155 155 7.7123 0.005486 ** Residuals 66802 1343878 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "DMA" "../lrn/num/198.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 609 609 30.265 3.782e-08 *** Residuals 66802 1343425 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC1" "../lrn/num/199.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1662 1662 82.768 < 2.2e-16 *** Residuals 66898 1342976 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC2" "../lrn/num/200.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2193 2193 109.26 < 2.2e-16 *** Residuals 66898 1342445 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC3" "../lrn/num/201.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1819 1819 90.638 < 2.2e-16 *** Residuals 66898 1342818 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC4" "../lrn/num/202.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2157 2157 107.51 < 2.2e-16 *** Residuals 66898 1342480 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC5" "../lrn/num/203.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2384 2384 118.83 < 2.2e-16 *** Residuals 66898 1342253 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC6" "../lrn/num/204.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 774 774 38.55 5.368e-10 *** Residuals 66898 1343863 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC7" "../lrn/num/205.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 676 676 33.633 6.686e-09 *** Residuals 66898 1343962 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC8" "../lrn/num/206.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 203 203 10.090 0.001491 ** Residuals 66898 1344435 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC9" "../lrn/num/207.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 66 66 3.2778 0.07023 . Residuals 66898 1344572 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC10" "../lrn/num/208.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 576 576 28.669 8.613e-08 *** Residuals 66898 1344062 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC11" "../lrn/num/209.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1248 1248 62.172 3.194e-15 *** Residuals 66898 1343389 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC12" "../lrn/num/210.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1378 1378 68.612 < 2.2e-16 *** Residuals 66898 1343260 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC13" "../lrn/num/211.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1046 1046 52.099 5.333e-13 *** Residuals 66898 1343591 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC14" "../lrn/num/212.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1390 1390 69.209 < 2.2e-16 *** Residuals 66898 1343248 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC15" "../lrn/num/213.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 986 986 49.077 2.484e-12 *** Residuals 66898 1343652 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC16" "../lrn/num/214.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 771 771 38.373 5.877e-10 *** Residuals 66898 1343867 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC17" "../lrn/num/215.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 378 378 18.820 1.439e-05 *** Residuals 66898 1344260 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC18" "../lrn/num/216.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 157 157 7.8302 0.005139 ** Residuals 66898 1344480 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC19" "../lrn/num/217.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 611 611 30.404 3.522e-08 *** Residuals 66898 1344027 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC20" "../lrn/num/218.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1224 1224 60.943 5.961e-15 *** Residuals 66898 1343414 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC21" "../lrn/num/219.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1540 1540 76.711 < 2.2e-16 *** Residuals 66898 1343098 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC22" "../lrn/num/220.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1116 1116 55.587 9.048e-14 *** Residuals 66898 1343521 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "IC23" "../lrn/num/221.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1453 1453 72.343 < 2.2e-16 *** Residuals 66898 1343185 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHAS1" "../lrn/num/222.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 29 29 1.441 0.23 Residuals 66898 1344609 20 [1] "---------------------------------------------------------------------" [1] "HHAS2" "../lrn/num/223.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 269 269 13.403 0.0002514 *** Residuals 66898 1344368 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHAS3" "../lrn/num/224.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1207 1207 60.101 9.136e-15 *** Residuals 66898 1343431 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HHAS4" "../lrn/num/225.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 690 690 34.34 4.649e-09 *** Residuals 66898 1343948 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MC1" "../lrn/num/226.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 102 102 5.081 0.02419 * Residuals 66898 1344536 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MC2" "../lrn/num/227.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 69 69 3.4232 0.06429 . Residuals 66898 1344569 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MC3" "../lrn/num/228.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 141 141 6.9958 0.008172 ** Residuals 66898 1344497 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TPE1" "../lrn/num/229.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 73 73 3.6513 0.05603 . Residuals 66898 1344564 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TPE2" "../lrn/num/230.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 281 281 13.988 0.0001841 *** Residuals 66898 1344357 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TPE3" "../lrn/num/231.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0298 0.863 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "TPE4" "../lrn/num/232.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.367 0.367 0.0183 0.8925 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "TPE5" "../lrn/num/233.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.4705 0.4928 Residuals 66898 1344628 20 [1] "---------------------------------------------------------------------" [1] "TPE6" "../lrn/num/234.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0603 0.806 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "TPE7" "../lrn/num/235.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.3578 0.3578 0.0178 0.8939 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "TPE8" "../lrn/num/236.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1075 0.743 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "TPE9" "../lrn/num/237.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 75 75 3.7128 0.054 . Residuals 66898 1344563 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "PEC1" "../lrn/num/238.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 37 37 1.8198 0.1773 Residuals 66898 1344601 20 [1] "---------------------------------------------------------------------" [1] "PEC2" "../lrn/num/239.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 6 6 0.3077 0.5791 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "TPE10" "../lrn/num/240.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 58 58 2.9069 0.0882 . Residuals 66898 1344579 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TPE11" "../lrn/num/241.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 71 71 3.5143 0.06084 . Residuals 66898 1344567 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TPE12" "../lrn/num/242.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.0882 0.7664 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "TPE13" "../lrn/num/243.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 59 59 2.9416 0.08633 . Residuals 66898 1344579 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LFC1" "../lrn/num/244.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.01077 0.01077 5e-04 0.9815 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "LFC2" "../lrn/num/245.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.3823 0.5364 Residuals 66898 1344630 20 [1] "---------------------------------------------------------------------" [1] "LFC3" "../lrn/num/246.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4 4 0.1914 0.6618 Residuals 66898 1344634 20 [1] "---------------------------------------------------------------------" [1] "LFC4" "../lrn/num/247.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 57 57 2.8182 0.0932 . Residuals 66898 1344581 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LFC5" "../lrn/num/248.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4 4 0.2024 0.6528 Residuals 66898 1344634 20 [1] "---------------------------------------------------------------------" [1] "LFC6" "../lrn/num/249.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 65 65 3.2102 0.07318 . Residuals 66898 1344573 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LFC7" "../lrn/num/250.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.1583 0.1583 0.0079 0.9293 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "LFC8" "../lrn/num/251.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.4271 0.5134 Residuals 66898 1344629 20 [1] "---------------------------------------------------------------------" [1] "LFC9" "../lrn/num/252.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 53 53 2.6376 0.1044 Residuals 66898 1344585 20 [1] "---------------------------------------------------------------------" [1] "LFC10" "../lrn/num/253.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 403 403 20.042 7.589e-06 *** Residuals 66898 1344235 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC1" "../lrn/num/254.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1176 1176 58.553 2.005e-14 *** Residuals 66898 1343462 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC2" "../lrn/num/255.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 968 968 48.192 3.899e-12 *** Residuals 66898 1343670 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC3" "../lrn/num/256.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2513 0.6162 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "OCC4" "../lrn/num/257.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 711 711 35.401 2.697e-09 *** Residuals 66898 1343927 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC5" "../lrn/num/258.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.4588 0.4982 Residuals 66898 1344629 20 [1] "---------------------------------------------------------------------" [1] "OCC6" "../lrn/num/259.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 96 96 4.7865 0.02869 * Residuals 66898 1344542 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC7" "../lrn/num/260.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 19 19 0.9546 0.3285 Residuals 66898 1344619 20 [1] "---------------------------------------------------------------------" [1] "OCC8" "../lrn/num/261.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 587 587 29.233 6.439e-08 *** Residuals 66898 1344050 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC9" "../lrn/num/262.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 14 14 0.6809 0.4093 Residuals 66898 1344624 20 [1] "---------------------------------------------------------------------" [1] "OCC10" "../lrn/num/263.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 464 464 23.105 1.537e-06 *** Residuals 66898 1344174 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC11" "../lrn/num/264.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 869 869 43.239 4.881e-11 *** Residuals 66898 1343769 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC12" "../lrn/num/265.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 605 605 30.104 4.109e-08 *** Residuals 66898 1344033 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OCC13" "../lrn/num/266.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 693 693 34.479 4.329e-09 *** Residuals 66898 1343945 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC1" "../lrn/num/267.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 13 13 0.6352 0.4255 Residuals 66898 1344625 20 [1] "---------------------------------------------------------------------" [1] "EIC2" "../lrn/num/268.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 37 37 1.8625 0.1723 Residuals 66898 1344600 20 [1] "---------------------------------------------------------------------" [1] "EIC3" "../lrn/num/269.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 30 30 1.4893 0.2223 Residuals 66898 1344608 20 [1] "---------------------------------------------------------------------" [1] "EIC4" "../lrn/num/270.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 229 229 11.39 0.0007388 *** Residuals 66898 1344409 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC5" "../lrn/num/271.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 91 91 4.5456 0.03301 * Residuals 66898 1344546 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC6" "../lrn/num/272.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 87 87 4.3217 0.03763 * Residuals 66898 1344551 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC7" "../lrn/num/273.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.002794 0.002794 1e-04 0.9906 Residuals 66898 1344638 20 [1] "---------------------------------------------------------------------" [1] "EIC8" "../lrn/num/274.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.47 0.493 Residuals 66898 1344628 20 [1] "---------------------------------------------------------------------" [1] "EIC9" "../lrn/num/275.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 692 692 34.438 4.42e-09 *** Residuals 66898 1343946 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC10" "../lrn/num/276.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 42 42 2.0652 0.1507 Residuals 66898 1344596 20 [1] "---------------------------------------------------------------------" [1] "EIC11" "../lrn/num/277.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 30 30 1.5025 0.2203 Residuals 66898 1344608 20 [1] "---------------------------------------------------------------------" [1] "EIC12" "../lrn/num/278.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 102 102 5.0811 0.02419 * Residuals 66898 1344536 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC13" "../lrn/num/279.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.4958 0.4958 0.0247 0.8752 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "EIC14" "../lrn/num/280.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 71 71 3.511 0.06097 . Residuals 66898 1344567 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC15" "../lrn/num/281.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1210 1210 60.237 8.528e-15 *** Residuals 66898 1343428 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EIC16" "../lrn/num/282.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 46 46 2.2874 0.1304 Residuals 66898 1344592 20 [1] "---------------------------------------------------------------------" [1] "OEDC1" "../lrn/num/283.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 76 76 3.7648 0.05235 . Residuals 66898 1344562 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OEDC2" "../lrn/num/284.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.4129 0.5205 Residuals 66898 1344629 20 [1] "---------------------------------------------------------------------" [1] "OEDC3" "../lrn/num/285.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 40 40 1.995 0.1578 Residuals 66898 1344598 20 [1] "---------------------------------------------------------------------" [1] "OEDC4" "../lrn/num/286.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 466 466 23.205 1.459e-06 *** Residuals 66898 1344172 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "OEDC5" "../lrn/num/287.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 21 21 1.0347 0.3091 Residuals 66898 1344617 20 [1] "---------------------------------------------------------------------" [1] "OEDC6" "../lrn/num/288.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 6 6 0.2881 0.5914 Residuals 66898 1344632 20 [1] "---------------------------------------------------------------------" [1] "OEDC7" "../lrn/num/289.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.3822 0.5364 Residuals 66898 1344630 20 [1] "---------------------------------------------------------------------" [1] "EC1" "../lrn/num/290.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 787 787 39.177 3.895e-10 *** Residuals 66898 1343851 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC2" "../lrn/num/291.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 662 662 32.967 9.414e-09 *** Residuals 66898 1343975 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC3" "../lrn/num/292.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 826 826 41.114 1.446e-10 *** Residuals 66898 1343812 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC4" "../lrn/num/293.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1098 1098 54.65 1.457e-13 *** Residuals 66898 1343540 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC5" "../lrn/num/294.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 251 251 12.497 0.0004079 *** Residuals 66898 1344387 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC6" "../lrn/num/295.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 96 96 4.7907 0.02862 * Residuals 66898 1344541 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC7" "../lrn/num/296.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1327 1327 66.079 4.406e-16 *** Residuals 66898 1343311 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "EC8" "../lrn/num/297.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1850 1850 92.178 < 2.2e-16 *** Residuals 66898 1342788 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "SEC1" "../lrn/num/298.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 191 191 9.5174 0.002036 ** Residuals 66898 1344446 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "SEC2" "../lrn/num/299.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 184 184 9.1797 0.002448 ** Residuals 66898 1344453 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "SEC3" "../lrn/num/300.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.4664 0.4664 0.0232 0.879 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "SEC4" "../lrn/num/301.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 375 375 18.677 1.550e-05 *** Residuals 66898 1344262 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "SEC5" "../lrn/num/302.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 163 163 8.1013 0.004425 ** Residuals 66898 1344475 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AFC1" "../lrn/num/303.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4 4 0.205 0.6507 Residuals 66898 1344634 20 [1] "---------------------------------------------------------------------" [1] "AFC2" "../lrn/num/304.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.0838 0.7722 Residuals 66898 1344636 20 [1] "---------------------------------------------------------------------" [1] "AFC3" "../lrn/num/305.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.3725 0.5416 Residuals 66898 1344630 20 [1] "---------------------------------------------------------------------" [1] "AFC4" "../lrn/num/306.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 46 46 2.2776 0.1313 Residuals 66898 1344592 20 [1] "---------------------------------------------------------------------" [1] "AFC5" "../lrn/num/307.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 73 73 3.6283 0.05681 . Residuals 66898 1344565 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AFC6" "../lrn/num/308.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1163 0.733 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "VC1" "../lrn/num/309.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 23 23 1.1471 0.2842 Residuals 66898 1344615 20 [1] "---------------------------------------------------------------------" [1] "VC2" "../lrn/num/310.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 31 31 1.5327 0.2157 Residuals 66898 1344607 20 [1] "---------------------------------------------------------------------" [1] "VC3" "../lrn/num/311.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 188 188 9.3588 0.00222 ** Residuals 66898 1344450 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "VC4" "../lrn/num/312.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 277 277 13.798 0.0002038 *** Residuals 66898 1344360 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC1" "../lrn/num/313.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2296 0.6318 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "ANC2" "../lrn/num/314.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 194 194 9.654 0.00189 ** Residuals 66898 1344444 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC3" "../lrn/num/315.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 11 11 0.5586 0.4548 Residuals 66898 1344627 20 [1] "---------------------------------------------------------------------" [1] "ANC4" "../lrn/num/316.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 87 87 4.3291 0.03747 * Residuals 66898 1344551 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC5" "../lrn/num/317.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 36 36 1.7945 0.1804 Residuals 66898 1344602 20 [1] "---------------------------------------------------------------------" [1] "ANC6" "../lrn/num/318.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 168 168 8.3585 0.00384 ** Residuals 66898 1344470 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC7" "../lrn/num/319.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1528 0.6959 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "ANC8" "../lrn/num/320.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 365 365 18.159 2.035e-05 *** Residuals 66898 1344273 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC9" "../lrn/num/321.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.3726 0.5416 Residuals 66898 1344630 20 [1] "---------------------------------------------------------------------" [1] "ANC10" "../lrn/num/322.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 10 10 0.4775 0.4895 Residuals 66898 1344628 20 [1] "---------------------------------------------------------------------" [1] "ANC11" "../lrn/num/323.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5 5 0.2298 0.6317 Residuals 66898 1344633 20 [1] "---------------------------------------------------------------------" [1] "ANC12" "../lrn/num/324.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 443 443 22.044 2.669e-06 *** Residuals 66898 1344195 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC13" "../lrn/num/325.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 210 210 10.458 0.001222 ** Residuals 66898 1344428 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ANC14" "../lrn/num/326.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 14 14 0.6941 0.4048 Residuals 66898 1344624 20 [1] "---------------------------------------------------------------------" [1] "ANC15" "../lrn/num/327.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 62 62 3.0728 0.07962 . Residuals 66898 1344576 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POBC1" "../lrn/num/328.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 190 190 9.4593 0.002102 ** Residuals 66898 1344448 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "POBC2" "../lrn/num/329.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 778 778 38.721 4.917e-10 *** Residuals 66898 1343860 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LSC1" "../lrn/num/330.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 9 9 0.4338 0.5101 Residuals 66898 1344629 20 [1] "---------------------------------------------------------------------" [1] "LSC2" "../lrn/num/331.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 13 13 0.6438 0.4224 Residuals 66898 1344625 20 [1] "---------------------------------------------------------------------" [1] "LSC3" "../lrn/num/332.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 181 181 9.015 0.002679 ** Residuals 66898 1344457 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LSC4" "../lrn/num/333.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 160 160 7.9503 0.004809 ** Residuals 66898 1344478 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "VOC1" "../lrn/num/334.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 114 114 5.6706 0.01725 * Residuals 66898 1344524 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "VOC2" "../lrn/num/335.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 171 171 8.5295 0.003496 ** Residuals 66898 1344466 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "VOC3" "../lrn/num/336.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 84 84 4.1897 0.04067 * Residuals 66898 1344554 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC1" "../lrn/num/337.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 29 29 1.4667 0.2259 Residuals 66898 1344608 20 [1] "---------------------------------------------------------------------" [1] "HC2" "../lrn/num/338.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 172 172 8.5341 0.003487 ** Residuals 66898 1344466 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC3" "../lrn/num/339.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 37 37 1.832 0.1759 Residuals 66898 1344601 20 [1] "---------------------------------------------------------------------" [1] "HC4" "../lrn/num/340.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 87 87 4.3205 0.03766 * Residuals 66898 1344551 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC5" "../lrn/num/341.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 69 69 3.4355 0.06381 . Residuals 66898 1344569 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC6" "../lrn/num/342.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 163 163 8.1325 0.004349 ** Residuals 66898 1344474 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC7" "../lrn/num/343.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 147 147 7.3016 0.006891 ** Residuals 66898 1344491 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC8" "../lrn/num/344.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 135 135 6.7173 0.00955 ** Residuals 66898 1344503 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC9" "../lrn/num/345.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 674 674 33.555 6.959e-09 *** Residuals 66898 1343964 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC10" "../lrn/num/346.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 213 213 10.617 0.001121 ** Residuals 66898 1344424 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC11" "../lrn/num/347.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 21 21 1.0262 0.3111 Residuals 66898 1344617 20 [1] "---------------------------------------------------------------------" [1] "HC12" "../lrn/num/348.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 245 245 12.214 0.0004747 *** Residuals 66898 1344392 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC13" "../lrn/num/349.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 24 24 1.1917 0.275 Residuals 66898 1344614 20 [1] "---------------------------------------------------------------------" [1] "HC14" "../lrn/num/350.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 42 42 2.1048 0.1468 Residuals 66898 1344595 20 [1] "---------------------------------------------------------------------" [1] "HC15" "../lrn/num/351.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 32 32 1.5918 0.2071 Residuals 66898 1344606 20 [1] "---------------------------------------------------------------------" [1] "HC16" "../lrn/num/352.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 18 18 0.8761 0.3493 Residuals 66898 1344620 20 [1] "---------------------------------------------------------------------" [1] "HC17" "../lrn/num/353.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 128 128 6.3884 0.01149 * Residuals 66898 1344509 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC18" "../lrn/num/354.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 119 119 5.9042 0.01511 * Residuals 66898 1344519 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC19" "../lrn/num/355.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 60 60 2.9833 0.08413 . Residuals 66898 1344578 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HC20" "../lrn/num/356.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 18 18 0.9067 0.341 Residuals 66898 1344620 20 [1] "---------------------------------------------------------------------" [1] "HC21" "../lrn/num/357.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 219 219 10.918 0.0009528 *** Residuals 66898 1344418 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MHUC1" "../lrn/num/358.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1778 1778 88.592 < 2.2e-16 *** Residuals 66898 1342859 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MHUC2" "../lrn/num/359.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 210 210 10.439 0.001234 ** Residuals 66898 1344428 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "AC1" "../lrn/num/360.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 19 19 0.9637 0.3263 Residuals 66898 1344618 20 [1] "---------------------------------------------------------------------" [1] "AC2" "../lrn/num/361.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1355 0.7127 Residuals 66898 1344635 20 [1] "---------------------------------------------------------------------" [1] "ADATE_2" "../lrn/num/362.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 24 24 1.2164 0.2701 Residuals 66898 1344613 20 [1] "---------------------------------------------------------------------" [1] "ADATE_3" "../lrn/num/363.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 13 13 0.6472 0.4211 Residuals 65532 1310354 20 [1] "---------------------------------------------------------------------" [1] "ADATE_4" "../lrn/num/364.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 47 47 2.3574 0.1247 Residuals 65358 1309162 20 [1] "---------------------------------------------------------------------" [1] "ADATE_5" "../lrn/num/365.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) Residuals 43371 1000571 23 [1] "---------------------------------------------------------------------" [1] "ADATE_6" "../lrn/num/366.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 156 156 7.7926 0.005247 ** Residuals 64398 1288865 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_7" "../lrn/num/367.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 65 65 3.2225 0.07264 . Residuals 60730 1228206 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_8" "../lrn/num/368.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0252 0.8738 Residuals 64528 1298826 20 [1] "---------------------------------------------------------------------" [1] "ADATE_9" "../lrn/num/369.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4 4 0.2073 0.6489 Residuals 59031 1204058 20 [1] "---------------------------------------------------------------------" [1] "ADATE_10" "../lrn/num/370.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 19 19 0.9713 0.3244 Residuals 44018 869101 20 [1] "---------------------------------------------------------------------" [1] "ADATE_11" "../lrn/num/371.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0594 0.8075 Residuals 59608 1205511 20 [1] "---------------------------------------------------------------------" [1] "ADATE_12" "../lrn/num/372.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 63 63 3.1279 0.07697 . Residuals 60652 1225273 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_13" "../lrn/num/373.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 109 109 5.2025 0.02256 * Residuals 38792 811017 21 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_14" "../lrn/num/374.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 25 25 1.1986 0.2736 Residuals 53739 1111311 21 [1] "---------------------------------------------------------------------" [1] "ADATE_15" "../lrn/num/375.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) Residuals 20990 543961 26 [1] "---------------------------------------------------------------------" [1] "ADATE_16" "../lrn/num/376.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.5904 0.4423 Residuals 52683 1058892 20 [1] "---------------------------------------------------------------------" [1] "ADATE_17" "../lrn/num/377.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1504 0.6981 Residuals 47576 974242 20 [1] "---------------------------------------------------------------------" [1] "ADATE_18" "../lrn/num/378.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 127 127 6.2884 0.01216 * Residuals 52057 1049112 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_19" "../lrn/num/379.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 106 106 5.2521 0.02193 * Residuals 49800 1007758 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_20" "../lrn/num/380.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5.335e-05 5.335e-05 2.541e-06 0.9987 Residuals 31637 664379 21 [1] "---------------------------------------------------------------------" [1] "ADATE_21" "../lrn/num/381.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1326 0.7158 Residuals 42311 882427 21 [1] "---------------------------------------------------------------------" [1] "ADATE_22" "../lrn/num/382.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 85 85 4.1263 0.04223 * Residuals 49011 1009556 21 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "ADATE_23" "../lrn/num/383.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.2799 0.5968 Residuals 27452 655754 24 [1] "---------------------------------------------------------------------" [1] "ADATE_24" "../lrn/num/384.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.3702 0.5429 Residuals 41036 875580 21 [1] "---------------------------------------------------------------------" [1] "CARDPROM" "../lrn/num/408.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 209 209 10.385 0.001271 ** Residuals 66898 1344429 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MAXADATE" "../lrn/num/409.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 56 56 2.7809 0.0954 . Residuals 66898 1344582 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "NUMPROM" "../lrn/num/410.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 538 538 26.769 2.300e-07 *** Residuals 66898 1344100 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CARDPM12" "../lrn/num/411.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 567 567 28.206 1.094e-07 *** Residuals 66898 1344071 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "NUMPRM12" "../lrn/num/412.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1445 1445 71.985 < 2.2e-16 *** Residuals 66898 1343192 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_3" "../lrn/num/413.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 120.1 120.1 2.9943 0.08557 . Residuals 153 6138.9 40.1 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_4" "../lrn/num/414.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.03016 0.03016 3e-04 0.9854 Residuals 186 16717.6 89.9 [1] "---------------------------------------------------------------------" [1] "RDATE_5" "../lrn/num/415.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7.037 7.037 0.5223 0.4971 Residuals 6 80.838 13.473 [1] "---------------------------------------------------------------------" [1] "RDATE_6" "../lrn/num/416.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 17.5 17.5 0.6907 0.4063 Residuals 554 14031.7 25.3 [1] "---------------------------------------------------------------------" [1] "RDATE_7" "../lrn/num/417.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 19 19 1.1413 0.2854 Residuals 6214 103814 17 [1] "---------------------------------------------------------------------" [1] "RDATE_8" "../lrn/num/418.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 31 31 1.5847 0.2081 Residuals 15209 292797 19 [1] "---------------------------------------------------------------------" [1] "RDATE_9" "../lrn/num/419.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 7 7 0.3974 0.5285 Residuals 11762 213950 18 [1] "---------------------------------------------------------------------" [1] "RDATE_10" "../lrn/num/420.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 57 57 4.7829 0.02877 * Residuals 7271 86486 12 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_11" "../lrn/num/421.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 8 8 0.4908 0.4836 Residuals 10262 173558 17 [1] "---------------------------------------------------------------------" [1] "RDATE_12" "../lrn/num/422.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.1541 0.6946 Residuals 18003 311368 17 [1] "---------------------------------------------------------------------" [1] "RDATE_13" "../lrn/num/423.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 39 39 2.3513 0.1252 Residuals 8546 142919 17 [1] "---------------------------------------------------------------------" [1] "RDATE_14" "../lrn/num/424.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 60 60 2.7399 0.09789 . Residuals 16332 357807 22 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_15" "../lrn/num/425.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0299 0.8628 Residuals 5106 122619 24 [1] "---------------------------------------------------------------------" [1] "RDATE_16" "../lrn/num/426.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3 3 0.2222 0.6374 Residuals 18981 288837 15 [1] "---------------------------------------------------------------------" [1] "RDATE_17" "../lrn/num/427.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 163 163 9.6656 0.001885 ** Residuals 6593 111069 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_18" "../lrn/num/428.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 33 33 1.8325 0.1759 Residuals 13801 245266 18 [1] "---------------------------------------------------------------------" [1] "RDATE_19" "../lrn/num/429.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0422 0.8373 Residuals 11136 218361 20 [1] "---------------------------------------------------------------------" [1] "RDATE_20" "../lrn/num/430.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 31 31 2.0095 0.1564 Residuals 5520 83971 15 [1] "---------------------------------------------------------------------" [1] "RDATE_21" "../lrn/num/431.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 40 40 1.908 0.1672 Residuals 6712 140093 21 [1] "---------------------------------------------------------------------" [1] "RDATE_22" "../lrn/num/432.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 48 48 3.0558 0.08047 . Residuals 14705 233374 16 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RDATE_23" "../lrn/num/433.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0952 0.7577 Residuals 5540 84857 15 [1] "---------------------------------------------------------------------" [1] "RDATE_24" "../lrn/num/434.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2 2 0.1097 0.7405 Residuals 12540 223927 18 [1] "---------------------------------------------------------------------" [1] "RAMNT_3" "../lrn/num/435.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 65.9 65.9 1.6271 0.2040 Residuals 153 6193.2 40.5 [1] "---------------------------------------------------------------------" [1] "RAMNT_4" "../lrn/num/436.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2326.8 2326.8 30.073 1.344e-07 *** Residuals 186 14390.9 77.4 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_5" "../lrn/num/437.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 5.546 5.546 0.4042 0.5484 Residuals 6 82.329 13.721 [1] "---------------------------------------------------------------------" [1] "RAMNT_6" "../lrn/num/438.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 0.5 0.5 0.0208 0.8854 Residuals 554 14048.7 25.4 [1] "---------------------------------------------------------------------" [1] "RAMNT_7" "../lrn/num/439.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 389 389 23.369 1.369e-06 *** Residuals 6214 103444 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_8" "../lrn/num/440.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 715 715 37.233 1.074e-09 *** Residuals 15209 292112 19 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_9" "../lrn/num/441.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 2312 2312 128.48 < 2.2e-16 *** Residuals 11762 211646 18 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_10" "../lrn/num/442.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 141 141 11.860 0.0005769 *** Residuals 7271 86402 12 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_11" "../lrn/num/443.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 878 878 52.147 5.514e-13 *** Residuals 10262 172689 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_12" "../lrn/num/444.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1305 1305 75.773 < 2.2e-16 *** Residuals 18003 310065 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_13" "../lrn/num/445.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 494 494 29.616 5.413e-08 *** Residuals 8546 142464 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_14" "../lrn/num/446.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3134 3134 144.28 < 2.2e-16 *** Residuals 16332 354734 22 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_15" "../lrn/num/447.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 216 216 9.014 0.002692 ** Residuals 5106 122403 24 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_16" "../lrn/num/448.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 200 200 13.163 0.0002862 *** Residuals 18981 288641 15 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_17" "../lrn/num/449.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 145 145 8.5899 0.003392 ** Residuals 6593 111087 17 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_18" "../lrn/num/450.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 629 629 35.489 2.627e-09 *** Residuals 13801 244670 18 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_19" "../lrn/num/451.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 456 456 23.286 1.415e-06 *** Residuals 11136 217906 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_20" "../lrn/num/452.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 107 107 7.0628 0.007893 ** Residuals 5520 83894 15 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_21" "../lrn/num/453.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1850 1850 89.777 < 2.2e-16 *** Residuals 6712 138283 21 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_22" "../lrn/num/454.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1838 1838 116.72 < 2.2e-16 *** Residuals 14705 231584 16 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_23" "../lrn/num/455.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 406 406 26.625 2.556e-07 *** Residuals 5540 84452 15 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNT_24" "../lrn/num/456.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1064 1064 59.883 1.083e-14 *** Residuals 12540 222865 18 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "RAMNTALL" "../lrn/num/457.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4004 4004 199.80 < 2.2e-16 *** Residuals 66898 1340634 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "NGIFTALL" "../lrn/num/458.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 46 46 2.2819 0.1309 Residuals 66898 1344592 20 [1] "---------------------------------------------------------------------" [1] "CARDGIFT" "../lrn/num/459.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 47 47 2.3405 0.1261 Residuals 66898 1344591 20 [1] "---------------------------------------------------------------------" [1] "MINRAMNT" "../lrn/num/460.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 516 516 25.675 4.051e-07 *** Residuals 66898 1344122 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MINRDATE" "../lrn/num/461.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 31 31 1.519 0.2178 Residuals 66898 1344607 20 [1] "---------------------------------------------------------------------" [1] "MAXRAMNT" "../lrn/num/462.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3630 3630 181.1 < 2.2e-16 *** Residuals 66898 1341007 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "MAXRDATE" "../lrn/num/463.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1 1 0.0575 0.8105 Residuals 66898 1344637 20 [1] "---------------------------------------------------------------------" [1] "LASTGIFT" "../lrn/num/464.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 4831 4831 241.2 < 2.2e-16 *** Residuals 66898 1339807 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "LASTDATE" "../lrn/num/465.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 599 599 29.826 4.742e-08 *** Residuals 66898 1344039 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "FISTDATE" "../lrn/num/466.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 66 66 3.3065 0.06901 . Residuals 66898 1344571 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "NEXTDATE" "../lrn/num/467.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 14 14 0.6931 0.4051 Residuals 59981 1191420 20 [1] "---------------------------------------------------------------------" [1] "TIMELAG" "../lrn/num/468.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 12 12 0.5926 0.4414 Residuals 59981 1191422 20 [1] "---------------------------------------------------------------------" [1] "AVGGIFT" "../lrn/num/469.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 3391 3391 169.15 < 2.2e-16 *** Residuals 66898 1341247 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "CONTROLN" "../lrn/num/470.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 98 98 4.857 0.02754 * Residuals 66898 1344540 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TARGET_B" "../lrn/num/471.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 781773 781773 92916 < 2.2e-16 *** Residuals 66898 562864 8 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "TARGET_D" "../lrn/num/472.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1344638 1344638 1.2248e+37 < 2.2e-16 *** Residuals 66898 7.345e-27 1.098e-31 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 [1] "---------------------------------------------------------------------" [1] "HPHONE_D" "../lrn/num/473.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 23 23 1.1593 0.2816 Residuals 66898 1344614 20 [1] "---------------------------------------------------------------------" [1] "CLUSTER2" "../lrn/num/480.dat" Analysis of Variance Table Response: y Df Sum Sq Mean Sq F value Pr(>F) x 1 1321 1321 65.734 5.247e-16 *** Residuals 66802 1342712 20 --- Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1 > proc.time() [1] 3263.64 107.49 3380.89 0.00 0.00 >