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Data X:
15836.8 15799.5 89.1 17570.4 16685.6 82.6 18252.1 18357.8 102.7 16196.7 15952.7 91.8 16643 16540.9 94.1 17729 18159.5 103.1 16446.1 16847.2 93.2 15993.8 17282.5 91 16373.5 18042.3 94.3 17842.2 19614.9 99.4 22321.5 23335.7 115.7 22786.7 23650.4 116.8 18274.1 20328.3 99.8 22392.9 22751.6 96 23899.3 24347.7 115.9 21343.5 21479.6 109.1 22952.3 23533.8 117.3 21374.4 22176.2 109.8 21164.1 20866.8 112.8 20906.5 22168.7 110.7 17877.4 19484.6 100 20664.3 21131.5 113.3 22160 21968.9 122.4 19813.6 19220.8 112.5 17735.4 17789.6 104.2 19640.2 19227.5 92.5 20844.4 19899.2 117.2 19823.1 19563 109.3 18594.6 18075.2 106.1 21350.6 20438.6 118.8 18574.1 18076.7 105.3 18924.2 18637.3 106 17343.4 17579.4 102 19961.2 19422.1 112.9 19932.1 19270 116.5 19464.6 18553 114.8 16165.4 16895.6 100.5 17574.9 16398.9 85.4 19795.4 18953.1 114.6 19439.5 18690 109.9 17170 17065.3 100.7 21072.4 21489.9 115.5 17751.8 17776.1 100.7 17515.5 18101.9 99 18040.3 19021 102.3 19090.1 18883 108.8 17746.5 16768.7 105.9 19202.1 18135.3 113.2 15141.6 15699.8 95.7 16258.1 15052.1 80.9 18586.5 18320.9 113.9 17209.4 16505 98.1 17838.7 16889 102.8 19123.5 18447.7 104.7 16583.6 16359.9 95.9 15991.2 15663.9 94.6 16704.4 16869.2 101.6 17420.4 16614.8 103.9 17872 16670.7 110.3 17823.2 16629.6 114.1
Names of X columns:
Uitv Inv Id
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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