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Data X:
-2.9 4.6 0.8 5.5 -7.7 10.1 -3.8 4.2 -5.3 -7.8 -1.9 -7 6 0.4 14.2 1.2 -3.1 -9.2 0 -5.8 -1.8 -2.5 2.1 -4.3 14.4 11.8 14.9 10.9 8.2 2.3 18.2 3.2 0.3 2.5 7.2 3.8 14.2 8.8 1 13.1 6 -0.8 6.8 23.1 18.1 8.4 24.9 4 9.4 4.4 10.3 -2.5 7.1 -5.1 1.7 -4.4 6.9 14 8.6 0.9 6.1 7.9 8.2 7 7.7 3.1 6 1.4 7.2 3.8 7 -0.4 0.2 -6.1 3.5 -8.6 -1 -2.9 -1.5 -7.1 0.5 0.5 1 -0.9 10.7 1.4 14.6 5.7 -7 -9.1 -8.6 -20.7 -3 -0.2 -8.9 2.8 2.6 -4.4 2.5 7.4 -8.9 -6.5 1.7 -4.5 9.3 3.3 24.7 8.1 3.5 -0.4 15.2 -0.2 4.1 5 15.5 7 6.3 1.8 8.9 8.3 9.7 9.5 16.3 12.9 -2.9 -2.2 5.7 6.8 18.9 16.4 23.9 7.6 -0.6 5.4 14.6 2.7 4.5 9 12.7 -0.5 4.9 7.6 10.6 2.9 6.8 11.7 9.7 2.4 22 23.6 24.8 12.7 11.2 16 4.5 3.9 4.5 10.2 13.1 0.3 14.4 18.3 22.4 5.3 3.8 16.1 15.6 -4.2 3.3 15 20.4 -5.9 10.4 18.5 19.1 -0.4 0.6 11.9 11.8 -3 4.7 15.1 7.3 -9.2 14.6 14.4 29.7 6.3 8.6 12.8 13.4 6.4
Names of X columns:
Totaal Metaal Machines Elektr.Instrumenten
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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