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Data X:
13 13 14 13 3 2 12 12 8 13 5 1 15 10 12 16 6 0 12 9 7 12 6 3 10 10 10 11 5 3 12 12 7 12 3 1 15 13 16 18 8 3 9 12 11 11 4 1 12 12 14 14 4 4 11 6 6 9 4 0 11 5 16 14 6 3 11 12 11 12 6 2 15 11 16 11 5 4 7 14 12 12 4 3 11 14 7 13 6 1 11 12 13 11 4 1 10 12 11 12 6 2 14 11 15 16 6 3 10 11 7 9 4 1 6 7 9 11 4 1 11 9 7 13 2 2 15 11 14 15 7 3 11 11 15 10 5 4 12 12 7 11 4 2 14 12 15 13 6 1 15 11 17 16 6 2 9 11 15 15 7 2 13 8 14 14 5 4 13 9 14 14 6 2 16 12 8 14 4 3 13 10 8 8 4 3 12 10 14 13 7 3 14 12 14 15 7 4 11 8 8 13 4 2 9 12 11 11 4 2 16 11 16 15 6 4 12 12 10 15 6 3 10 7 8 9 5 4 13 11 14 13 6 2 16 11 16 16 7 5 14 12 13 13 6 3 15 9 5 11 3 1 5 15 8 12 3 1 8 11 10 12 4 1 11 11 8 12 6 2 16 11 13 14 7 3 17 11 15 14 5 9 9 15 6 8 4 0 9 11 12 13 5 0 13 12 16 16 6 2 10 12 5 13 6 2 6 9 15 11 6 3 12 12 12 14 5 1 8 12 8 13 4 2 14 13 13 13 5 0 12 11 14 13 5 5 11 9 12 12 4 2 16 9 16 16 6 4 8 11 10 15 2 3 15 11 15 15 8 0 7 12 8 12 3 0 16 12 16 14 6 4 14 9 19 12 6 1 16 11 14 15 6 1 9 9 6 12 5 4 14 12 13 13 5 2 11 12 15 12 6 4 13 12 7 12 5 1 15 12 13 13 6 4 5 14 4 5 2 2 15 11 14 13 5 5 13 12 13 13 5 4 11 11 11 14 5 4 11 6 14 17 6 4 12 10 12 13 6 4 12 12 15 13 6 3 12 13 14 12 5 3 12 8 13 13 5 3 14 12 8 14 4 2 6 12 6 11 2 1 7 12 7 12 4 1 14 6 13 12 6 5 14 11 13 16 6 4 10 10 11 12 5 2 13 12 5 12 3 3 12 13 12 12 6 2 9 11 8 10 4 2 12 7 11 15 5 2 16 11 14 15 8 2 10 11 9 12 4 3 14 11 10 16 6 2 10 11 13 15 6 3 16 12 16 16 7 4 15 10 16 13 6 3 12 11 11 12 5 3 10 12 8 11 4 0 8 7 4 13 6 1 8 13 7 10 3 2 11 8 14 15 5 2 13 12 11 13 6 3 16 11 17 16 7 4 16 12 15 15 7 4 14 14 17 18 6 1 11 10 5 13 3 2 4 10 4 10 2 2 14 13 10 16 8 3 9 10 11 13 3 3 14 11 15 15 8 3 8 10 10 14 3 1 8 7 9 15 4 1 11 10 12 14 5 1 12 8 15 13 7 1 11 12 7 13 6 0 14 12 13 15 6 1 15 12 12 16 7 3 16 11 14 14 6 3 16 12 14 14 6 0 11 12 8 16 6 2 14 12 15 14 6 5 14 11 12 12 4 2 12 12 12 13 4 3 14 11 16 12 5 3 8 11 9 12 4 5 13 13 15 14 6 4 16 12 15 14 6 4 12 12 6 14 5 0 16 12 14 16 8 3 12 12 15 13 6 0 11 8 10 14 5 2 4 8 6 4 4 0 16 12 14 16 8 6 15 11 12 13 6 3 10 12 8 16 4 1 13 13 11 15 6 6 15 12 13 14 6 2 12 12 9 13 4 1 14 11 15 14 6 3 7 12 13 12 3 1 19 12 15 15 6 2 12 10 14 14 5 4 12 11 16 13 4 1 13 12 14 14 6 2 15 12 14 16 4 0 8 10 10 6 4 5 12 12 10 13 4 2 10 13 4 13 6 1 8 12 8 14 5 1 10 15 15 15 6 4 15 11 16 14 6 3 16 12 12 15 8 0 13 11 12 13 7 3 16 12 15 16 7 3 9 11 9 12 4 0 14 10 12 15 6 2 14 11 14 12 6 5 12 11 11 14 2 2
Names of X columns:
Popularity FindingFriends KnowingPeople Liked Celebrity Sum
Type of Correlation
pearson
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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