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Data X:
210907 56 30 145 0 120982 56 28 101 0 176508 54 38 98 0 179321 89 30 132 NA 123185 40 22 60 NA 52746 25 26 38 NA 385534 92 25 144 NA 33170 18 18 5 NA 101645 63 11 28 NA 149061 44 26 84 0 165446 33 25 79 NA 237213 84 38 127 0 173326 88 44 78 NA 133131 55 30 60 1 258873 60 40 131 NA 180083 66 34 84 NA 324799 154 47 133 0 230964 53 30 150 0 236785 119 31 91 1 135473 41 23 132 NA 202925 61 36 136 NA 215147 58 36 124 NA 344297 75 30 118 0 153935 33 25 70 NA 132943 40 39 107 NA 174724 92 34 119 0 174415 100 31 89 0 225548 112 31 112 NA 223632 73 33 108 0 124817 40 25 52 0 221698 45 33 112 NA 210767 60 35 116 NA 170266 62 42 123 NA 260561 75 43 125 NA 84853 31 30 27 NA 294424 77 33 162 0 101011 34 13 32 NA 215641 46 32 64 NA 325107 99 36 92 NA 7176 17 0 0 NA 167542 66 28 83 NA 106408 30 14 41 0 96560 76 17 47 0 265769 146 32 120 0 269651 67 30 105 NA 149112 56 35 79 1 175824 107 20 65 0 152871 58 28 70 0 111665 34 28 55 0 116408 61 39 39 NA 362301 119 34 67 0 78800 42 26 21 NA 183167 66 39 127 0 277965 89 39 152 NA 150629 44 33 113 NA 168809 66 28 99 NA 24188 24 4 7 NA 329267 259 39 141 0 65029 17 18 21 NA 101097 64 14 35 NA 218946 41 29 109 1 244052 68 44 133 0 341570 168 21 123 1 103597 43 16 26 0 233328 132 28 230 NA 256462 105 35 166 NA 206161 71 28 68 NA 311473 112 38 147 NA 235800 94 23 179 NA 177939 82 36 61 NA 207176 70 32 101 NA 196553 57 29 108 0 174184 53 25 90 NA 143246 103 27 114 0 187559 121 36 103 NA 187681 62 28 142 NA 119016 52 23 79 NA 182192 52 40 88 NA 73566 32 23 25 NA 194979 62 40 83 NA 167488 45 28 113 0 143756 46 34 118 0 275541 63 33 110 NA 243199 75 28 129 NA 182999 88 34 51 0 135649 46 30 93 NA 152299 53 33 76 0 120221 37 22 49 NA 346485 90 38 118 0 145790 63 26 38 NA 193339 78 35 141 0 80953 25 8 58 NA 122774 45 24 27 0 130585 46 29 91 0 112611 41 20 48 1 286468 144 29 63 0 241066 82 45 56 NA 148446 91 37 144 NA 204713 71 33 73 NA 182079 63 33 168 1 140344 53 25 64 1 220516 62 32 97 0 243060 63 29 117 1 162765 32 28 100 0 182613 39 28 149 NA 232138 62 31 187 NA 265318 117 52 127 NA 85574 34 21 37 0 310839 92 24 245 NA 225060 93 41 87 1 232317 54 33 177 NA 144966 144 32 49 NA 43287 14 19 49 NA 155754 61 20 73 NA 164709 109 31 177 0 201940 38 31 94 NA 235454 73 32 117 NA 220801 75 18 60 0 99466 50 23 55 0 92661 61 17 39 0 133328 55 20 64 1 61361 77 12 26 0 125930 75 17 64 NA 100750 72 30 58 1 224549 50 31 95 NA 82316 32 10 25 NA 102010 53 13 26 NA 101523 42 22 76 0 243511 71 42 129 0 22938 10 1 11 NA 41566 35 9 2 NA 152474 65 32 101 1 61857 25 11 28 NA 99923 66 25 36 0 132487 41 36 89 0 317394 86 31 193 NA 21054 16 0 4 NA 209641 42 24 84 NA 22648 19 13 23 0 31414 19 8 39 NA 46698 45 13 14 NA 131698 65 19 78 1 91735 35 18 14 NA 244749 95 33 101 1 184510 49 40 82 NA 79863 37 22 24 NA 128423 64 38 36 1 97839 38 24 75 1 38214 34 8 16 NA 151101 32 35 55 NA 272458 65 43 131 0 172494 52 43 131 0 108043 62 14 39 0 328107 65 41 144 0 250579 83 38 139 NA 351067 95 45 211 0 158015 29 31 78 NA 98866 18 13 50 NA 85439 33 28 39 NA 229242 247 31 90 0 351619 139 40 166 NA 84207 29 30 12 NA 120445 118 16 57 0 324598 110 37 133 0 131069 67 30 69 0 204271 42 35 119 NA 165543 65 32 119 NA 141722 94 27 65 NA 116048 64 20 61 1 250047 81 18 49 1 299775 95 31 101 0 195838 67 31 196 0 173260 63 21 15 0 254488 83 39 136 0 104389 45 41 89 NA 136084 30 13 40 NA 199476 70 32 123 NA 92499 32 18 21 0 224330 83 39 163 0 135781 31 14 29 0 74408 67 7 35 NA 81240 66 17 13 NA 14688 10 0 5 NA 181633 70 30 96 1 271856 103 37 151 NA 7199 5 0 6 NA 46660 20 5 13 NA 17547 5 1 3 NA 133368 36 16 56 NA 95227 34 32 23 NA 152601 48 24 57 NA 98146 40 17 14 1 79619 43 11 43 NA 59194 31 24 20 0 139942 42 22 72 NA 118612 46 12 87 1 72880 33 19 21 NA 65475 18 13 56 0 99643 55 17 59 NA 71965 35 15 82 NA 77272 59 16 43 NA 49289 19 24 25 NA 135131 66 15 38 NA 108446 60 17 25 0 89746 36 18 38 NA 44296 25 20 12 NA 77648 47 16 29 NA 181528 54 16 47 0 134019 53 18 45 0 124064 40 22 40 NA 92630 40 8 30 NA 121848 39 17 41 0 52915 14 18 25 NA 81872 45 16 23 NA 58981 36 23 14 0 53515 28 22 16 0 60812 44 13 26 NA 56375 30 13 21 0 65490 22 16 27 NA 80949 17 16 9 NA 76302 31 20 33 0 104011 55 22 42 0 98104 54 17 68 0 67989 21 18 32 NA 30989 14 17 6 NA 135458 81 12 67 NA 73504 35 7 33 NA 63123 43 17 77 0 61254 46 14 46 NA 74914 30 23 30 NA 31774 23 17 0 0 81437 38 14 36 0 87186 54 15 46 NA 50090 20 17 18 NA 65745 53 21 48 1 56653 45 18 29 0 158399 39 18 28 1 46455 20 17 34 NA 73624 24 17 33 0 38395 31 16 34 NA 91899 35 15 33 NA 139526 151 21 80 NA 52164 52 16 32 NA 51567 30 14 30 NA 70551 31 15 41 NA 84856 29 17 41 NA 102538 57 15 51 0 86678 40 15 18 0 85709 44 10 34 NA 34662 25 6 31 NA 150580 77 22 39 0 99611 35 21 54 0 19349 11 1 14 NA 99373 63 18 24 0 86230 44 17 24 0 30837 19 4 8 NA 31706 13 10 26 NA 89806 42 16 19 NA 62088 38 16 11 NA 40151 29 9 14 NA 27634 20 16 1 NA 76990 27 17 39 NA 37460 20 7 5 NA 54157 19 15 37 0 49862 37 14 32 NA 84337 26 14 38 NA 64175 42 18 47 0 59382 49 12 47 0 119308 30 16 37 0 76702 49 21 51 NA 103425 67 19 45 NA 70344 28 16 21 NA 43410 19 1 1 NA 104838 49 16 42 NA 62215 27 10 26 NA 69304 30 19 21 NA 53117 22 12 4 NA 19764 12 2 10 NA 86680 31 14 43 NA 84105 20 17 34 0 77945 20 19 31 NA 89113 39 14 19 NA 91005 29 11 34 NA 40248 16 4 6 NA 64187 27 16 11 0 50857 21 20 24 NA 56613 19 12 16 NA 62792 35 15 72 NA 72535 14 16 21 NA
Names of X columns:
timeinrfc logins compendiumsreviewed totblogs gender
Type of Correlation


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Title:

R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method=par1) r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) n a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable1.tab')

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Raw Output	view raw output of R engine
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R Server	Big Analytics Cloud Computing Center