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Data X:
6.3 2.0 3 1 3 2.1 1.8 3 5 4 9.1 .7 4 4 4 15.8 3.9 1 1 1 5.2 1.0 4 5 4 10.9 3.6 1 2 1 8.3 1.4 1 1 1 11.0 1.5 5 4 4 3.2 .7 5 5 5 7.6 2.7 2 1 2 6.3 2.1 1 1 1 8.6 .0 2 2 2 6.6 4.1 2 2 2 9.5 1.2 2 2 2 4.8 1.3 1 2 1 12.0 6.1 1 1 1 3.3 .5 5 5 5 11.0 3.4 3 1 2 4.7 1.5 1 3 1 10.4 3.4 5 1 3 7.4 .8 5 3 4 2.1 .8 5 5 5 7.7 1.4 5 2 4 17.9 2.0 1 1 1 6.1 1.9 1 1 1 8.2 2.4 2 1 1 8.4 2.8 3 1 3 11.9 1.3 4 1 3 10.8 2.0 4 1 3 13.8 5.6 2 1 1 14.3 3.1 2 1 1 15.2 1.8 2 2 2 10.0 .9 4 4 4 11.9 1.8 2 1 2 6.5 1.9 4 4 4 7.5 .9 5 5 5 10.6 2.6 3 1 3 7.4 2.4 1 1 1 8.4 1.2 2 3 2 5.7 .9 2 2 2 4.9 .5 3 2 3 3.2 .6 5 5 5 8.1 2.2 3 1 2 11.0 2.3 2 1 2 4.9 .5 3 1 3 13.2 2.6 3 2 2 9.7 .6 4 3 4 12.8 6.6 2 1 1
Names of X columns:
SWS PS P S D
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=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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1 seconds
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Big Analytics Cloud Computing Center
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