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Data X:
-4.4 11.1 -1.4 14 -0.4 6 -9.4 8.7 -5.4 8.3 -12.9 10.7 -3.4 6.7 -5.1 9.4 -4.5 -2.2 -12.9 1.9 -7.3 5.9 -21.2 10.3 -5.6 8 -5.3 12.2 -18.4 6.7 -5.3 12.6 -5.1 15.5 -11.5 9.5 -25.1 7.9 1.8 11.6 7 8.9 -9.8 12 11.7 21.1 -13.4 19.8 -1.1 -10 -9.1 -6.4 0.7 0.3 -6.8 5.1 8.6 7.8 -9.2 2.5 7.1 0.2 -11.3 2.1 -7 4 -0.2 6.3 3.3 15.8 6.9 9.5 -1.7 2.6 -0.5 6.2 11.5 6.6 1.3 4.3 11.4 4.5 -10.9 6.9 19.6 -3.8 -7.5 4.3 3.3 6.8 -12.1 5.3 -0.8 6.8 -10.7 5.2 9.1 8.1 -3.1 9.9 4.1 1.2 -9.1 -1.1 3.5 -0.6 -8.5 1.4 0.1 3.8 -3.8 5.9 2.6 7.7 -9.6 9.5 5.7 -5.5 -10.5 -4.7 12.3 -10 4.7 -3.6 0.3 -1.1 -4.7 -3.6 5.3 -1.1 0.3 -0.8 -10.1 -3.9 -9.2 -3.8 4.3 0.3 4.3 -1.8 6.5 -12.5 2.9 -11.5 3.2 2.3 0.1 1.8 6.1 6.9 5.5 7 6.5 10.8 4.6 11.7 -1.1 -2.2 2 3.3 19.8 8.2 4.6 3.7 9.6 3.8 3.8 6.1 0.7 4.1 -7.7 1.9 3.1 5.1 1.4 6.7 7 0.7 -5 4.3 18.1 12.4 6.4 10.6 12.1 6 -8.7 4.4 13.7 3.3 0 11.9 11.8 4.7 -3.2 2.7 6.7 1.2 -6.1 2.6 9.2 -0.9 -6.6 1.7 17.1 2.9 -7.1 3 3.2 -2 -9.6 2.1 15.5 3.1 -4.6 5.4 15.9 10.5 1.7 7.5 10.3 1.4 3.2 0.6 11.8 -6.9 -0.6 -3.3 7.9 2 1.3 -3.1 8.3 -0.8 4.2 3 8.2 0.9 -4.4 3 3.6 2 1.1 3 18.2 3.9 -0.8 4.1 6.9 -9.1 1 -3.4 17.2 15.5 8.5 8.6 10.5 -4.5 6.2 -3.2 7.3 -2.5 -4 0.5 9.9 3.1 4.4 0.3 9.9 -9.5 -3.3 -3.6 7 9.4 -4.5 3.7
Names of X columns:
Inv.Goed. Tot.Consg. Duurz.Consg. N-Duurz.Consg.
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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