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Data X:
8.6 -3 1.7 8.3 -2 2.4 8.3 -3 2 8.3 -1 2.1 8.4 3 2 8.5 -4 1.8 8.4 -15 2.7 8.6 -17 2.3 8.5 -14 1.9 8.5 -9 2 8.4 -17 2.3 8.5 -7 2.8 8.5 -6 2.4 8.5 -1 2.3 8.5 0 2.7 8.5 -2 2.7 8.5 -4 2.9 8.5 -6 3 8.5 -2 2.2 8.6 1 2.3 8.4 7 2.8 8.1 2 2.8 8.0 2 2.8 8.0 13 2.2 8.0 7 2.6 8.0 -1 2.8 7.9 1 2.5 7.8 0 2.4 7.8 0 2.3 7.9 5 1.9 8.1 3 1.7 8.0 6 2 7.6 7 2.1 7.3 -6 1.7 7.0 -8 1.8 6.8 -5 1.8 7.0 -14 1.8 7.1 -13 1.3 7.2 -15 1.3 7.1 -14 1.3 6.9 -10 1.2 6.7 -14 1.4 6.7 -18 2.2 6.6 -22 2.9 6.9 -24 3.1 7.3 -17 3.5 7.5 -16 3.6 7.3 -17 4.4 7.1 -22 4.1 6.9 -25 5.1 7.1 -18 5.8 7.5 -23 5.9 7.7 -20 5.4 7.8 -9 5.5 7.8 -4 4.8 7.7 0 3.2 7.8 3 2.7 7.8 14 2.1 7.9 13 1.9 7.9 12 0.6
Names of X columns:
Werkls Ecg Cprijs
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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