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Data X:
210907 56 79 94 0 2 179321 89 108 103 0 4 149061 44 43 93 0 0 237213 84 78 123 0 0 173326 88 86 148 0 -4 133131 55 44 90 0 4 258873 60 104 124 0 4 324799 154 158 168 0 0 230964 53 102 115 0 -1 236785 119 77 71 0 0 344297 75 80 108 0 1 174724 92 123 120 0 0 174415 100 73 114 0 3 223632 73 105 120 0 -1 294424 77 107 124 0 4 325107 99 84 126 0 3 106408 30 33 37 0 1 96560 76 42 38 1 0 265769 146 96 120 0 -2 269651 67 106 93 0 -3 149112 56 56 95 0 -4 152871 58 59 90 0 2 362301 119 76 110 0 2 183167 66 91 138 0 -4 277965 89 115 133 0 3 218946 41 76 96 0 2 244052 68 101 164 0 2 341570 168 94 78 1 0 233328 132 92 102 0 5 206161 71 75 99 0 -2 311473 112 128 129 0 0 207176 70 56 114 0 -2 196553 57 41 99 0 -3 143246 103 67 104 0 2 182192 52 77 138 0 2 194979 62 66 151 0 2 167488 45 69 72 0 0 143756 46 105 120 0 4 275541 63 116 115 0 4 152299 53 62 98 0 2 193339 78 100 71 0 2 130585 46 67 107 0 -4 112611 41 46 73 1 3 148446 91 135 129 0 3 182079 63 124 118 0 2 243060 63 58 104 0 -1 162765 32 68 107 0 -3 85574 34 37 36 1 0 225060 93 93 139 0 1 133328 55 56 56 1 -3 100750 72 83 93 0 3 101523 42 59 87 1 0 243511 71 133 110 0 0 152474 65 106 83 0 0 132487 41 71 98 0 3 317394 86 116 82 0 -3 244749 95 98 115 0 0 184510 49 64 140 0 -4 128423 64 32 120 0 2 97839 38 25 66 0 -1 172494 52 46 139 0 3 229242 247 63 119 0 2 351619 139 95 141 0 5 324598 110 113 133 0 2 195838 67 111 98 0 -2 254488 83 120 117 0 0 199476 70 87 105 0 3 92499 32 25 55 1 -2 224330 83 131 132 0 0 181633 70 47 73 0 6 271856 103 109 86 0 -3 95227 34 37 48 0 3 98146 40 15 48 1 0 118612 46 54 43 1 -2 65475 18 16 46 1 1 108446 60 22 65 1 0 121848 39 37 52 1 2 76302 31 29 68 1 2 98104 54 55 47 1 -3 30989 14 5 41 1 -2 31774 23 0 47 1 1 150580 77 27 71 1 -4 54157 19 37 30 1 0 59382 49 29 24 1 1 84105 20 17 63 1 0
Names of X columns:
time logins BC LFM Course Totaal
Type of Correlation
Valutakoersen Eur-Dollar
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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Big Analytics Cloud Computing Center
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