Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
9.3 8 23.2 6.2 9.3 8.1 23.2 6.3 8.7 7.7 20.9 6.2 8.2 7.5 20.9 6.1 8.3 7.6 20.9 6.3 8.5 7.8 19.8 6.5 8.6 7.8 19.8 6.6 8.5 7.8 19.8 6.5 8.2 7.5 20.6 6.2 8.1 7.5 20.6 6.2 7.9 7.1 20.6 5.9 8.6 7.5 21.1 6.1 8.7 7.5 21.1 6.1 8.7 7.6 21.1 6.1 8.5 7.7 22.4 6.1 8.4 7.7 22.4 6.1 8.5 7.9 22.4 6.4 8.7 8.1 20.5 6.7 8.7 8.2 20.5 6.9 8.6 8.2 20.5 7 8.5 8.2 18.4 7 8.3 7.9 18.4 6.8 8 7.3 18.4 6.4 8.2 6.9 17.6 5.9 8.1 6.6 17.6 5.5 8.1 6.7 17.6 5.5 8 6.9 18.5 5.6 7.9 7 18.5 5.8 7.9 7.1 18.5 5.9 8 7.2 17.3 6.1 8 7.1 17.3 6.1 7.9 6.9 17.3 6 8 7 16.2 6 7.7 6.8 16.2 5.9 7.2 6.4 16.2 5.5 7.5 6.7 18.5 5.6 7.3 6.6 18.5 5.4 7 6.4 18.5 5.2 7 6.3 16.3 5.2 7 6.2 16.3 5.2 7.2 6.5 16.3 5.5 7.3 6.8 16.8 5.8 7.1 6.8 16.8 5.8 6.8 6.4 16.8 5.5 6.4 6.1 14.8 5.3 6.1 5.8 14.8 5.1 6.5 6.1 14.8 5.2 7.7 7.2 21.4 5.8 7.9 7.3 21.4 5.8 7.5 6.9 21.4 5.5 6.9 6.1 16.1 5 6.6 5.8 16.1 4.9 6.9 6.2 16.1 5.3 7.7 7.1 19.6 6.1 8 7.7 19.6 6.5 8 7.9 19.6 6.8 7.7 7.7 18.9 6.6 7.3 7.4 18.9 6.4 7.4 7.5 18.9 6.4 8.1 8 18.9 6.6 8.3 8.1 18.9 6.7
Names of X columns:
tw twm twm<25 twm>25
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation