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Data X:
114 106.3 93.5 113.8 107.2 93.1 113.6 107.8 91 113.7 109.2 91.1 114.2 109.7 91.9 114.8 108.7 92.4 115.2 109.3 92.8 115.3 110.4 92.5 114.9 111.1 91.3 115.1 110.1 91.2 116 109.5 92.8 116 109 92.9 116 108.5 93 115.9 108.8 92.4 115.6 109.8 90.7 116.6 110.7 91.3 116.9 110.6 91.7 117.9 111.2 92.2 117.9 112 92.3 117.7 111.1 92.1 117.4 111.6 90.5 117.3 110.2 90.1 119 111.5 91.7 119.1 110.6 92.1 119 110.6 92.4 118.5 110.3 92.4 117 111.7 90 117.5 113.8 90.5 118.2 113.9 91.8 118.2 114.3 91.7 118.3 113.8 91.6 118.2 114.3 91.4 117.9 116.4 89.8 117.8 115.6 89.7 118.6 115.2 90.9 118.9 113.6 91 120.8 115.5 91.4 121.8 115.6 91.3 121.3 115.3 89.5 121.9 117.3 90.2 122 118.7 90.9 121.9 118.3 91.2 122 120.6 91.3 122.2 119.3 90.5 123 121.8 89.9 123.1 120.8 89.6 124.9 121.6 90.9 125.4 121.6 91.1 124.7 121.1 91.1 124.4 122.4 90.8 124 121.9 89.5 125 125.1 90.9 125.1 124.5 91.9 125.4 123.5 92.4 125.7 124.9 92.7 126.4 125.2 92.4 125.7 125.7 91.3 125.4 124.5 90.8 126.4 124.7 92.5 126.2 122.9 92.6
Names of X columns:
x y z
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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