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Data X:
100.0 114.1 141.7 100.0 93.5 110.3 153.4 117.8 88.2 103.9 145 95.7 89.2 101.6 137.7 100.5 91.4 94.6 148.3 105.1 92.5 95.9 152.2 116.2 91.4 104.7 169.4 125.3 88.2 102.8 168.6 130.2 87.1 98.1 161.1 137.1 84.9 113.9 174.1 136.3 92.5 80.9 179 107.8 93.5 95.7 190.6 118.1 93.5 113.2 190 119.5 91.4 105.9 181.6 124.1 90.3 108.8 174.8 114.0 91.4 102.3 180.5 132.2 93.5 99 196.8 160.0 93.5 100.7 193.8 124.6 92.5 115.5 197 138.7 91.4 100.7 216.3 105.1 89.2 109.9 221.4 132.3 86.0 114.6 217.9 118.4 88.2 85.4 229.7 114.2 87.1 100.5 227.4 106.7 87.1 114.8 204.2 110.7 86.0 116.5 196.6 115.3 84.9 112.9 198.8 95.7 84.9 102 207.5 106.0 86.0 106 190.7 109.3 86.0 105.3 201.6 105.9 84.9 118.8 210.5 118.5 86.0 106.1 223.5 107.5 82.8 109.3 223.8 102.4 77.4 117.2 231.2 126.7 80.6 92.5 244 112.0 78.5 104.2 234.7 99.5 75.3 112.5 250.2 88.3 75.3 122.4 265.7 118.0 75.3 113.3 287.6 96.2 77.4 100 283.3 96.0 78.5 110.7 295.4 117.5 76.3 112.8 312.3 113.5 73.1 109.8 333.8 101.9 68.8 117.3 347.7 130.1 65.6 109.1 383.2 96.5 69.9 115.9 407.1 122.2 82.8 96 413.6 106.4 84.9 99.8 362.7 99.8 80.6 116.8 321.9 113.0 74.2 115.7 239.4 99.6 71.0 99.4 191 85.0 74.2 94.3 159.7 96.8 82.8 91 163.4 83.2 86.0 93.2 157.6 81.1 86.0 103.1 166.2 104.4 82.8 94.1 176.7 91.3 78.5 91.8 198.3 85.0 79.6 102.7 226.2 117.5 87.1 82.6 216.2 98.3 89.2 89.1 235.9 112.7
Names of X columns:
WRKL IND GRON BOUW
Type of Correlation
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='kendall') 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$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'tau',1,TRUE) a<-table.element(a,'p-value',1,TRUE) a<-table.row.end(a) n <- length(y[,1]) n cor.test(y[1,],y[2,],method='kendall') for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste('tau(',dimnames(t(x))[[2]][i]) dum <- paste(dum,',') dum <- paste(dum,dimnames(t(x))[[2]][j]) dum <- paste(dum,')') a<-table.element(a,dum,header=TRUE) r <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,r$estimate) a<-table.element(a,r$p.value) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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1 seconds
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Big Analytics Cloud Computing Center
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