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Data X:
-2364 -34 0 -0.7 4658 -25.7 0 -0.7 2168 -27.7 0 1.8 -3325 11.7 0 1.9 -5995 -7.7 -0.2 -0.1 -5572 -5.6 -0.1 -7 -8463 -2.8 -0.1 -1.4 -1032 -3.6 1.1 3.1 4055 5.6 -0.4 -5.7 -11397 6.6 -0.1 -4.7 -10714 -15.6 0.1 -2.9 17543 -1.1 -1.1 3.9 -9774 -1 0.4 -1.1 -5876 7.7 0 4.1 -8917 16.7 0.1 6.1 -12380 -8.2 -0.1 -0.2 -3044 -1.6 0.1 -3.9 -2265 9.6 0.2 -1.2 -4691 12.6 0.1 1 3413 -7.5 0.6 9.7 3934 -9.4 0 6.3 -6857 -11.7 0 -7.3 -1861 17.7 0 0 16515 -0.8 -1 -11 -2131 7 0.4 6 9367 4.7 0.5 -0.4 2572 5.2 -0.8 -7.5 -3426 21.4 -0.1 -6.4 1922 3.4 0.1 1.5 -5839 11.1 -1.2 2 -4168 -9.6 1.5 2.8 2277 19.2 0.4 1.2 2018 22.4 0 0.2 -6147 26.7 1 1.7 -3897 15.8 -0.3 -2.4 14195 17.2 -1.3 0.5 -2438 18.1 -0.3 -2.5 -287 8.9 0.5 4 -9956 4.8 0.8 2.1 -9629 0.9 -0.9 8.3 4365 -1.4 -1 1.5 -6349 0.4 0.8 0.1 726 -2.1 -0.5 9.1 2147 1.1 1.2 3.1 -581 -1.1 0.2 11.6 -4303 -23.2 0.3 -6.4 -8471 -15.4 -0.2 0 18149 5.1 -1.5 -18.4 -237 -12.6 -0.3 2.9 8915 1.9 0.2 12 -1931 -8.2 0.9 3.4 254 -26.2 -0.4 -4.9 1286 16.7 -0.3 5.9 -8887 0.1 0.4 6.9 -642 12.3 0.5 4.4 -525 -5.8 -0.3 15.1 1311 -6.9 1.8 6.3 -2403 23 0.1 -10.2 -9112 10.1 0.2 -0.1 20426 21.6 -1.9 6.1 -5405 7.2 2 -0.4 1145 -9.9 0 0.4 -8647 -1.7 0.9 5.5 -2065 16.7 -0.2 -0.6 -958 -14.9 0 -2.4 -3273 -0.2 0 4.4 531 1.5 0 -1.6
Names of X columns:
x y z a
Type of Correlation
60
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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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