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Data X:
20.7 8.3 17.3 0.9 21.2 8.2 17.8 1.3 20.7 8 13.9 1.4 19.6 7.9 12.6 1.5 18.6 7.6 14.4 1.1 18.7 7.6 11.5 1.6 23.8 8.3 13.1 1.5 24.9 8.4 16.2 1.6 24.8 8.4 19.4 1.7 23.8 8.4 20.7 1.6 22.3 8.4 23.4 1.7 21.7 8.6 24.2 1.6 20.7 8.9 23.9 1.6 19.7 8.8 24.8 1.3 18.4 8.3 25.7 1.1 17.4 7.5 27.5 1.6 17 7.2 28.8 1.9 18 7.4 28.4 1.6 23.8 8.8 31.8 1.7 25.5 9.3 29.2 1.6 25.6 9.3 30 1.4 23.7 8.7 29.4 2.1 22 8.2 27.5 1.9 21.3 8.3 25.6 1.7 20.7 8.5 27 1.8 20.4 8.6 25.2 2 20.3 8.5 24.6 2.5 20.4 8.2 21.9 2.1 19.8 8.1 20.8 2.1 19.5 7.9 21.3 2.3 23.1 8.6 20.6 2.4 23.5 8.7 21.2 2.4 23.5 8.7 25.1 2.3 22.9 8.5 27.1 1.7 21.9 8.4 28.1 2 21.5 8.5 29 2.3 20.5 8.7 29.4 2 20.2 8.7 31 2 19.4 8.6 32.1 1.3 19.2 8.5 34.1 1.7 18.8 8.3 34.3 1.9 18.8 8 35.1 1.7 22.6 8.2 36.5 1.6 23.3 8.1 35.3 1.7 23 8.1 34.3 1.8 21.4 8 35.7 1.9 19.9 7.9 34.5 1.9 18.8 7.9 35.7 1.9 18.6 8 34.9 2 18.4 8 33.6 2.1 18.6 7.9 32.5 1.9 19.9 8 34.6 1.9 19.2 7.7 35.6 1.3 18.4 7.2 37.3 1.3 21.1 7.5 36 1.4 20.5 7.3 33.8 1.2 19.1 7 33.5 1.3 18.1 7 31.1 1.8 17 7 31.2 2.2 17.1 7.2 28.9 2.6 17.4 7.3 30.7 2.8 16.8 7.1 30.5 3.1 15.3 6.8 30.8 3.9 14.3 6.4 26.9 3.7 13.4 6.1 29.3 4.6 15.3 6.5 27.5 5.1 22.1 7.7 25.5 5.2 23.7 7.9 26 4.9 22.2 7.5 20.8 5.1 19.5 6.9 14.9 4.8 16.6 6.6 6.9 3.9 17.3 6.9 0 3.5
Names of X columns:
WJ TW CJ GI
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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1 seconds
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Big Analytics Cloud Computing Center
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