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Data X:
41 34 38 30 39 33 32 28 30 29 35 31 31 34 33 35 34 32 37 35 35 35 29 37 39 41 31 39 34 27 36 31 36 40 35 38 37 40 38 37 38 36 31 37 36 40 34 35 38 43 35 37 39 40 38 42 33 33 37 28 32 37 33 37 36 32 32 36 38 26 38 37 39 36 38 33 32 39 32 40 32 38 33 30 31 34 31 36 39 35 38 33 37 41 39 40 39 42 32 37 41 36 32 37 36 39 35 39 33 33 37 35 33 33 33 36 34 36 33 34 31 37 28 36 27 36 32 32 37 34 31 33 34 32 37 27 34 35 30 37 32 39 33 32 29 30 31 31 36 25 33 31 29 29 31 32 35 39 33 37 37 31 32 25 34 26 33 30 38 28 32 37 35 40 33 37 38 32 28 40 37 35 35 35 38 32 39 35 33 41 34 43 36 34 38 32 38 36 32 42 32 38 38 35 32 34 30 27 32 32 33 30 34 34 38 31 32 32 32 36 37 40 32 36 39 43 34 41 29 35 34 34 37 45 36 36 35 36 34 33 30 39 28 35 38 31 34 28 34 36 35 33 31 36 35 38 34 37 31 37 35 40 37 39 36 35 35 34 30 36 27 32 39 32 40 36 35 36 37 36 38 37 36 35 31 42 38 33 34 37 39 42 38 36 41 36 34 36 27 33 39 33 30 36 37 37 37 32 34 35 31 35 28 37 31 38 37 28 27 33 33 33 36 32 37 45 38 38 35 38 37 39 37 43 33 39 32 37 34 39 33 36 31 30 38 40 39 38 33 39 34 38 29 43 32 42 33 32 33 41 31 37 36 31 36 34 32 39 35 44 41 40 32 35 28 31 29 34 30 34 39 37 36 23 37 40 35 28 35 36 31 36 37 44 34 41 32 35 36 29 38 34 36 31 37 40 35 33 36 34 37 35 32 39 28 35 33 36 39 34 40 40 32 40 38 37 35 34 41 35 39 36 36 45 35 35 43 39 42 39
Names of X columns:
Y2010C UC Y2010S US
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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