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Data X:
6.1 6.3 -1.7 12.6 -2.1 2.2 -0.8 -6.3 11.7 24.5 13.1 1.5 3.5 6.6 0.3 4.2 -10.9 -27.2 -6.4 -3.5 -2.5 -7.4 2.9 -3.7 -1.8 -10.8 2.8 0.5 -3.5 -11.8 3.8 -3.9 -9.1 -12.2 -16.3 -0.7 -2.6 -5.4 -1.6 -1.4 -2.1 -1.1 1.4 -5.9 3.3 -1.5 3.6 6.4 9.9 4 5.9 17.6 13.6 8.8 12 18.5 3.7 0.1 3.7 6.3 12.2 -8.8 3.3 34.8 -12.5 -11.4 -8.6 -16.6 -13.7 -4.3 -12.5 -21.4 -1.4 6.1 -7.7 -1.3 -0.5 -0.7 -4.3 3 -3.1 3.1 -0.2 -10.1 0.5 -3.1 7.1 -2.6 1.1 -3.5 -6.7 11 -3.7 -1.8 -6.6 -2.4 0.2 0.5 -1 1.1 -5.4 1.6 -4.5 -11.2 -4.3 -6.8 -3.3 -3.5 -2.2 -1.4 1 -5.6 -5.6 -1 -3.2 -10.9 -3.3 -4.3 1.3 -6.6 -5.8 -5.9 -15.6 2.8 -2.7 0.1 -2.2 -5.2 2.4 6.7 4.4 -2.2 3.2 0.6 5.1 3.4 -1.5 -3.7 -1.3 -0.1 -3.9 -1.3 -6.4 -3.7 -5.9 -1.3 -7.7 -7.5 -3 0.6 -2.4 -6 -2.6 -2.8 3.3 -7.7 -1.1 -2.7 -1.8 0.6 -0.3 -0.7 -2.2 1.7 -7.8 -6.1 -7.3 -9.5 3.8 7.8 6.7 -1.4 -0.3 -2.5 4.7 -3.2 0 -3.2 -0.5 2.7 1.3 -3.2 -2.5 7.8 1.1 -1.3 -1.1 4.7 -0.5 8.2 4.2 -10.9 -2.3 0.5 2.1 -7.9 0.8 2.4 2.3 -1.8 -0.4 -1.7 2.7 -2.1 2.4 3.3 1.7 2.3 -4.4 -6.5 -6.3 -1.1 -4.4 -8.6 -8.2 1.9 -2.7 -1.8 -2.2 -4 2.3 3.1 6.1 -1.5 0.5 5.1 -2.9 0.1 -1.4 2.3 3.2 -7.8 1.2 1.5 5.8 -3.1 0.5 2.4 -6 4.7 -2.1 -3.6 -6.6 3 -1.7 0.3 -1.9 -3 -2.1 -1.9 -1.8 -2.5 1.6 -1.1 2.9 2.4 -1.4 -2.1 3.8 -5.5 2.6 4.4 8 -3.4 -0.4 0.5 -0.9 -0.5 -3 -0.9 -5.3 -2.5 -2.6 -2.5 -5.2 -0.4 3 -0.4 2.4 5.9 0.4 1.2 -2.3 2.2 0.7 1.1 0.2 0.8 -0.4 -0.7 -0.9 0.3 3.6 -0.9 4.1 6.3 0.2 -1.1 1.7 -0.2 0.6 1.5 3 -2.1 2.6 5.3 4.3 -0.8 8 10.6 9.8 4.6 2.7 10.1 -0.3 0 6.5 9.7 -0.7 10.7 -0.3 -2.4 -4.7 4.8 -2.1 -6.2 3.6 -4.1 -1.2 -5.7 -0.5 1.4 1.1 -5 0.3 6.1 2.2 0.6 1.6 3.9 -5.6 -3 -0.9 -11.4 1 -1.1 4.7 -1 2.1 3.9 6.3 -2.6 -5.2 -4.5 -1.2 -9.4 -3.4 -7.1 -7.4 2.7 1.2 7.4 -3.2 0.8 4.9 1.9 10.1 2.3 4.1 -1.8 20.3 -5.7 3.4 6.4 6.3 -1.3 3 4.1 0.6 4.4 7.4 5.6 10.1 6.3 2.9 2.5 6.9 -0.4 10 7.3 22 1.4 1.2 4.3 3.3 -2.7 -3.5 -4 -7.9 0.7 -4.7 -6.7 -13.6 4.6 -9.7 -13.5 -17.6 -0.1 -11.4 -6.4 -31.1 2 -2.1 0.6 -7.6 0.8 -3 -3.2 -6.3 0.2 3.8 0.6 0.9 8.5 4.3 1.4 1.4 8.8 -1.1 -0.7 -2 -0.5 4.6 0 1.8 10.3 12.8 6.5 17.3 13.5 -4.8 -4.8 -1.6 -7.8 1.2 0.9 3.2 -0.2 3.2 1.9 9.7 -1.5 -1.5 5.1 -1.1 -6.7 -6.1 -5 -11.5 -2.1 -4.1 1 -8.9 -3.5 1.2 0.3 -1.8 4.5 0.1 -4.6 0.8 2.7 5.3 5.2 4 6.7 7.8 3.2 -1.4 19 2.1 7.3 -0.5 0.6 -2.3 1.3 -1.1 -5.9 1 3.5 -1.8 1.6 2.4 9 3.8 -3.4 -3.7 -3 -0.5 -6.9 3.7 5.7 -0.5 5.7 -4.5 -8.5 -5.3 -0.9 -0.3 5.4 -0.9 -3.9 7.6 19.4 8.7 -1.5 10.6 11.1 12.9 8.1 3.6 4.6 -1.2 7 1.2 0.8 7.7 -3.9 5 5.1 10.1 0.4 -0.9 -0.6 0.3 -2.2 -4.7 -10.7 -4.4 -0.9 3.5 2.7 8.2 0.2 9.2 12.5 10.4 5.8 1.2 -7.1 4.3 4.4 0 6.9 -0.7 -4.2 16 26.8 19.1 5.5
Names of X columns:
Totaal Graan Oliezaden Genotmiddelen
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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