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Data X:
13 5 12 3 15 0 12 7 10 4 12 1 15 6 9 3 12 12 11 0 11 5 11 6 15 6 7 6 11 2 11 1 10 5 14 7 10 3 6 3 11 3 15 7 11 8 12 6 14 3 15 5 9 5 13 10 13 2 16 6 13 4 12 6 14 8 11 4 9 5 16 10 12 6 10 7 13 4 16 10 14 4 15 3 5 3 8 3 11 3 16 7 17 15 9 0 9 0 13 4 10 5 6 5 12 2 8 3 14 0 12 9 11 2 16 7 8 7 15 0 7 0 16 10 14 2 16 1 9 8 14 6 11 11 13 3 15 8 5 6 15 9 13 9 11 8 11 8 12 7 12 6 12 5 12 4 14 6 6 3 7 2 14 12 14 8 10 5 13 9 12 6 9 5 12 2 16 4 10 7 14 5 10 6 16 7 15 8 12 6 10 0 8 1 8 5 11 5 13 5 16 7 16 7 14 1 11 3 4 4 14 8 9 6 14 6 8 2 8 2 11 3 12 3 11 0 14 2 15 8 16 8 16 0 11 5 14 9 14 6 12 6 14 3 8 9 13 7 16 8 12 0 16 7 12 0 11 5 4 0 16 14 15 5 10 2 13 8 15 4 12 2 14 6 7 3 19 5 12 9 12 3 13 3 15 0 8 10 12 4 10 2 8 3 10 10 15 7 16 0 13 6 16 8 9 0 14 4 14 10 12 5
Names of X columns:
IEP WP
Type of Correlation
pearson
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=par1) 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$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) n a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable1.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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