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Data X:
0 255202 64 92 34 0 135248 59 58 30 0 207223 64 62 42 1 189326 95 108 34 1 141365 46 55 25 0 65295 27 8 31 0 439387 103 134 29 0 33186 19 1 18 0 183696 51 64 30 0 186657 38 77 29 1 276696 99 86 42 1 194414 98 96 50 0 141409 59 44 33 1 306730 68 108 46 1 192691 74 63 38 1 333497 164 160 52 0 261835 59 109 32 1 263451 130 86 35 1 157448 49 93 25 1 232190 73 126 42 0 245725 64 110 40 0 388603 92 86 35 0 156540 34 50 25 0 156189 47 92 46 0 189726 106 123 39 0 192167 106 81 35 1 249893 122 93 38 1 236812 76 113 35 1 143160 47 52 28 0 259667 54 113 37 0 243020 68 113 40 0 176062 67 44 42 0 286683 79 123 44 1 87485 33 38 33 0 329737 88 111 38 1 247082 51 77 37 0 378463 108 102 41 1 191653 75 74 32 0 114673 31 33 17 0 301596 167 107 39 0 284195 73 108 33 1 155568 60 66 35 1 177306 67 69 32 1 144595 51 62 35 0 140319 73 50 45 1 405267 135 91 38 1 78800 42 20 26 1 201970 69 101 45 1 302705 101 129 44 1 164733 50 93 40 1 194221 68 89 33 0 24188 24 8 4 0 346142 288 80 41 0 65029 17 21 18 0 101097 64 30 14 1 253745 51 86 36 0 273513 77 116 49 1 282220 160 106 32 1 280928 120 132 37 1 214872 74 75 32 0 342048 127 139 43 0 273924 108 121 25 1 195726 92 57 42 1 231162 80 67 37 0 209798 61 45 33 1 201345 60 88 28 0 180231 118 79 31 1 204441 129 75 40 0 197813 67 114 32 1 136421 60 127 25 1 216092 59 86 42 1 73566 32 22 23 0 213998 70 67 42 1 181728 50 77 38 0 148758 51 105 34 0 308343 71 121 39 1 251437 78 88 32 0 202388 102 78 37 0 173286 56 122 34 0 155529 58 66 33 0 132672 41 58 25 1 390163 102 134 45 0 145905 66 30 26 0 228012 88 103 40 1 80953 25 49 8 0 130805 47 26 27 1 135163 49 67 32 1 333790 168 59 37 1 271806 95 95 50 1 164235 99 156 41 1 234092 80 74 37 0 207158 69 137 38 0 156583 57 37 28 0 242395 68 111 36 1 261601 70 58 32 1 178489 35 78 32 0 204221 44 88 33 1 268066 69 152 35 1 327622 133 130 58 1 361799 101 145 27 0 247131 107 108 45 1 265849 58 138 37 0 162336 162 62 32 1 43287 14 13 19 0 172244 68 89 22 0 189021 121 86 35 0 227681 43 116 36 0 269329 81 157 36 0 106503 56 28 23 1 117891 77 83 40 1 287201 59 72 40 0 266805 78 134 42 0 23623 11 12 1 1 174954 69 120 36 0 61857 25 23 11 1 144889 43 83 40 1 347988 103 126 34 0 21054 16 4 0 1 224051 46 71 27 1 31414 19 18 8 1 278660 107 98 35 0 209481 58 68 44 0 156870 75 44 40 1 112933 46 29 28 0 38214 34 16 8 0 166011 35 61 36 1 316044 73 117 47 1 181578 56 46 48 1 358903 72 129 45 1 275578 91 139 48 1 368796 106 136 49 1 172464 31 66 35 1 94381 35 42 32 1 250563 290 75 36 1 382499 154 97 42 1 118010 42 49 35 1 365575 122 127 42 1 147989 72 55 34 1 231681 46 101 41 0 193119 77 80 36 0 189020 108 29 32 0 341958 106 95 33 1 222060 79 120 35 0 173260 63 41 21 0 274787 91 128 42 1 130908 52 142 49 0 204009 75 88 33 0 262412 94 170 39 0 1 0 0 0 0 14688 10 4 0 0 98 1 0 0 0 455 2 0 0 1 0 0 0 0 0 0 0 0 0 1 195765 75 56 33 0 334258 129 121 47 0 0 0 0 0 0 203 4 0 0 0 7199 5 7 0 1 46660 20 12 5 1 17547 5 0 1 0 107465 38 37 38 1 969 2 0 0 1 179994 58 47 28
Names of X columns:
Geslacht Time_in_RFC Logins Blogged_computations Reviewed_compendiums
Type of Correlation
kendall
pearson
spearman
kendall
Chart options
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
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Computing time
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R Server
Big Analytics Cloud Computing Center
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