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Data X:
2 13 12 2 16 11 2 19 14 1 15 12 2 14 21 2 13 12 2 19 22 2 15 11 2 14 10 2 15 13 1 16 10 2 16 8 1 16 15 2 16 14 2 17 10 1 15 14 1 15 14 2 20 11 1 18 10 2 16 13 1 16 7 2 16 14 2 19 12 2 16 14 1 17 11 2 17 9 1 16 11 2 15 15 2 16 14 1 14 13 2 15 9 1 12 15 2 14 10 2 16 11 1 14 13 1 7 8 1 10 20 1 14 12 2 16 10 1 16 10 1 16 9 2 14 14 1 20 8 1 14 14 2 14 11 2 11 13 2 14 9 2 15 11 2 16 15 1 14 11 2 16 10 1 14 14 1 12 18 2 16 14 1 9 11 2 14 12 2 16 13 2 16 9 1 15 10 2 16 15 1 12 20 1 16 12 2 16 12 2 14 14 2 16 13 1 17 11 2 18 17 1 18 12 2 12 13 1 16 14 1 10 13 2 14 15 2 18 13 1 18 10 1 16 11 2 17 19 2 16 13 2 16 17 1 13 13 1 16 9 1 16 11 1 20 10 2 16 9 1 15 12 2 15 12 2 16 13 1 14 13 2 16 12 2 16 15 2 15 22 2 12 13 2 17 15 2 16 13 2 15 15 2 13 10 2 16 11 2 16 16 2 16 11 1 16 11 1 14 10 2 16 10 1 16 16 2 20 12 1 15 11 2 16 16 1 13 19 2 17 11 1 16 16 1 16 15 2 12 24 2 16 14 2 16 15 2 17 11 1 13 15 2 12 12 1 18 10 2 14 14 2 14 13 2 13 9 2 16 15 2 13 15 2 16 14 2 13 11 2 16 8 2 15 11 2 16 11 1 15 8 2 17 10 2 15 11 2 12 13 1 16 11 1 10 20 2 16 10 1 12 15 1 14 12 2 15 14 1 13 23 1 15 14 2 11 16 2 12 11 1 8 12 2 16 10 1 15 14 2 17 12 1 16 12 2 10 11 2 18 12 1 13 13 1 16 11 1 13 19 2 10 12 2 15 17 1 16 9 2 16 12 2 14 19 2 10 18 2 17 15 2 13 14 2 15 11 2 16 9 2 12 18 2 13 16
Names of X columns:
Gender Learning Depression
Type of Correlation
kendall
pearson
spearman
kendall
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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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