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Data X:
92.4 99.7 91.1 88.3 92 99 90.2 88.6 95.6 98.1 94.3 94.9 95.8 97 96 94.7 96.4 98.5 99 92.6 99 103.8 103.3 91.8 107 114.4 113.1 96.4 109.7 124.5 112.8 96.4 116.2 134.2 112.1 107.1 115.9 131.8 107.4 111.9 113.8 125.6 111 107.8 112.6 119.9 110.5 109.2 113.7 114.9 110.8 115.3 115.9 115.5 112.4 119.2 110.3 112.5 111.5 107.8 111.3 111.4 116.2 106.8 113.4 115.3 122.5 104.2 108.2 110.8 121.3 94.8 104.8 103.7 113.9 97.5 106 111.1 110.7 98.3 110.9 113 120.8 100.6 115 111.2 141.1 94.9 118.4 117.6 147.4 93.6 121.4 121.7 148 98 128.8 127.3 158.1 104.3 131.7 129.8 165 103.9 141.7 137.1 187 105.3 142.9 141.4 190.3 102.6 139.4 137.4 182.4 103.3 134.7 130.7 168.8 107.9 125 117.2 151.2 107.8 113.6 110.8 120.1 109.8 111.5 111.4 112.5 110.6 108.5 108.2 106.2 110.8 112.3 108.8 107.1 119.3 116.6 110.2 108.5 128.1 115.5 109.5 106.5 127.6 120.1 109.5 108.3 137.9 132.9 116 125.6 151.4 128.1 111.2 124 143.6 129.3 112.1 127.2 143.4 132.5 114 136.9 141.9 131 119.1 135.8 135.2 124.9 114.1 124.3 133.1 120.8 115.1 115.4 129.6 122 115.4 113.6 134.1 122.1 110.8 114.4 136.8 127.4 116 118.4 143.5 135.2 119.2 117 162.5 137.3 126.5 116.5 163.1 135 127.8 115.4 157.2 136 131.3 113.6 158.8 138.4 140.3 117.4 155.4 134.7 137.3 116.9 148.5 138.4 143 116.4 154.2 133.9 134.5 111.1 153.3 133.6 139.9 110.2 149.4 141.2 159.3 118.9 147.9 151.8 170.4 131.8 156 155.4 175 130.6 163
Names of X columns:
tot graan olie genot
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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