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Data X:
8.1 10.9 115.6 92.9 7.7 10 127.1 107.7 7.5 9.2 123 103.5 7.6 9.2 122.2 91.1 7.8 9.5 126.4 79.8 7.8 9.6 112.7 71.9 7.8 9.5 105.8 82.9 7.5 9.1 120.9 90.1 7.5 8.9 116.3 100.7 7.1 9 115.7 90.7 7.5 10.1 127.9 108.8 7.5 10.3 108.3 44.1 7.6 10.2 121.1 93.6 7.7 9.6 128.6 107.4 7.7 9.2 123.1 96.5 7.9 9.3 127.7 93.6 8.1 9.4 126.6 76.5 8.2 9.4 118.4 76.7 8.2 9.2 110 84 8.2 9 129.6 103.3 7.9 9 115.8 88.5 7.3 9 125.9 99 6.9 9.8 128.4 105.9 6.6 10 114 44.7 6.7 9.8 125.6 94 6.9 9.3 128.5 107.1 7 9 136.6 104.8 7.1 9 133.1 102.5 7.2 9.1 124.6 77.7 7.1 9.1 123.5 85.2 6.9 9.1 117.2 91.3 7 9.2 135.5 106.5 6.8 8.8 124.8 92.4 6.4 8.3 127.8 97.5 6.7 8.4 133.1 107 6.6 8.1 125.7 51.1 6.4 7.7 128.4 98.6 6.3 7.9 131.9 102.2 6.2 7.9 146.3 114.3 6.5 8 140.6 99.4 6.8 7.9 129.5 72.5 6.8 7.6 132.4 92.3 6.4 7.1 125.9 99.4 6.1 6.8 126.9 85.9 5.8 6.5 135.8 109.4 6.1 6.9 129.5 97.6 7.2 8.2 130.2 104.7 7.3 8.7 133.8 56.9 6.9 8.3 123.3 86.7 6.1 7.9 140.7 108.5 5.8 7.5 145.9 103.4 6.2 7.8 128.5 86.2 7.1 8.3 135.9 71 7.7 8.4 120.2 75.9 7.9 8.2 119.2 87.1 7.7 7.7 132.5 102 7.4 7.2 130.5 88.5 7.5 7.3 124.8 87.8 8 8.1 136.7 100.8 8.1 8.5 129.2 50.6 8 8.4 127.9 85.9
Names of X columns:
Mannen Vrouwen Productie_Voeding Productie_Bouwnijverheid
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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