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Data X:
4 1 27 5 26 49 35 4 1 36 4 25 45 34 5 1 25 4 17 54 13 2 1 27 3 37 36 35 3 2 25 3 35 36 28 5 2 44 3 15 53 32 4 1 50 4 27 46 35 4 1 41 4 36 42 36 4 1 48 5 25 41 27 4 2 43 4 30 45 29 5 2 47 2 27 47 27 4 2 41 3 33 42 28 3 1 44 2 29 45 29 4 2 47 5 30 40 28 3 2 40 3 25 45 30 3 2 46 3 23 40 25 4 1 28 3 26 42 15 3 1 56 3 24 45 33 4 2 49 4 35 47 31 2 2 25 4 39 31 37 4 2 41 4 23 46 37 3 2 26 3 32 34 34 4 1 50 5 29 43 32 4 1 47 4 26 45 21 3 1 52 2 21 42 25 3 2 37 5 35 51 32 2 2 41 3 23 44 28 4 1 45 4 21 47 22 5 2 26 4 28 47 25 4 1 NA 3 30 41 26 2 1 52 4 21 44 34 5 1 46 2 29 51 34 4 1 58 3 28 46 36 3 1 54 5 19 47 36 4 1 29 3 26 46 26 2 2 50 3 33 38 26 3 1 43 2 34 50 34 3 2 30 3 33 48 33 3 2 47 2 40 36 31 5 1 45 3 24 51 33 NA 2 48 1 35 35 22 4 2 48 3 35 49 29 4 2 26 4 32 38 24 4 1 46 5 20 47 37 2 2 NA 3 35 36 32 4 2 50 3 35 47 23 3 1 25 4 21 46 29 4 1 47 2 33 43 35 1 2 47 2 40 53 20 2 1 41 3 22 55 28 2 2 45 2 35 39 26 4 2 41 4 20 55 36 3 2 45 5 28 41 26 4 2 40 3 46 33 33 3 1 29 4 18 52 25 3 2 34 5 22 42 29 5 1 45 5 20 56 32 3 2 52 3 25 46 35 2 2 41 4 31 33 24 1 2 48 3 21 51 31 2 2 45 3 23 46 29 5 1 54 2 26 46 27 4 2 25 3 34 50 29 4 2 26 4 31 46 29 3 1 28 4 23 51 27 4 2 50 4 31 48 34 4 2 48 4 26 44 32 2 2 51 3 36 38 31 3 2 53 3 28 42 31 4 1 37 3 34 39 31 3 1 56 2 25 45 16 2 1 43 3 33 31 25 4 1 34 3 46 29 27 4 1 42 3 24 48 32 3 2 32 3 32 38 28 5 2 31 5 33 55 25 1 1 46 3 42 32 25 3 2 30 5 17 51 36 3 2 47 4 36 53 36 5 2 33 4 40 47 36 2 1 25 4 30 45 27 3 1 25 5 19 33 29 3 2 21 4 33 49 32 4 2 36 5 35 46 29 2 2 50 3 23 42 31 4 2 48 3 15 56 34 3 2 48 2 38 35 27 3 1 25 3 37 40 28 3 1 48 4 23 44 32 2 2 49 5 41 46 33 3 1 27 5 34 46 29 2 1 28 3 38 39 32 4 2 43 2 45 35 35 4 2 48 3 27 48 33 2 2 48 4 46 42 27 1 1 25 1 26 39 16 5 2 49 4 44 39 32 4 1 26 3 36 41 26 4 1 51 3 20 52 32 4 2 25 4 44 45 38 3 1 29 3 27 42 24 3 1 29 4 27 44 26 1 1 43 2 41 33 19 5 2 46 3 30 42 37 3 1 44 3 33 46 25 3 1 25 3 37 45 24 2 1 51 2 30 40 23 4 1 42 5 20 48 28 4 2 53 5 44 32 38 3 1 25 4 20 53 28 4 2 49 2 33 39 28 4 1 51 3 31 45 26 2 2 20 3 23 36 21 3 2 44 3 33 38 35 3 2 38 4 33 49 31 3 1 46 5 32 46 34 4 2 42 4 25 43 30 5 1 29 NA 22 37 30 3 2 46 4 16 48 24 3 2 49 2 36 45 27 2 2 51 3 35 32 26 3 1 38 3 25 46 30 1 1 41 1 27 20 15 4 2 47 3 32 42 28 4 2 44 3 36 45 34 4 2 47 3 51 29 29 3 2 46 3 30 51 26 5 1 44 4 20 55 31 2 2 28 3 29 50 28 2 2 47 4 26 44 33 3 2 28 4 20 41 32 3 1 41 5 40 40 33 2 2 45 4 29 47 31 1 2 46 4 32 42 37 3 1 46 4 33 40 27 5 2 22 3 32 51 19 4 2 33 3 34 43 27 4 1 41 4 24 45 31 4 2 47 5 25 41 38 3 1 25 3 41 41 22 5 2 42 3 39 37 35 3 2 47 3 21 46 35 3 2 50 3 38 38 30 3 1 55 5 28 39 41 3 1 21 3 37 45 25 4 1 NA 3 26 46 28 2 1 52 3 30 39 45 2 2 49 4 25 21 21 4 2 46 4 38 31 33 3 1 NA 4 31 35 25 3 2 45 3 31 49 29 2 2 52 3 27 40 31 3 1 NA 3 21 45 29 3 2 40 4 26 46 31 4 2 49 4 37 45 31 1 1 38 5 28 34 25 1 1 32 5 29 41 27 5 2 46 4 33 43 26 4 2 32 3 41 45 26 3 2 41 3 19 48 23 3 2 43 3 37 43 27 4 1 44 4 36 45 24 3 1 47 5 27 45 35 2 2 28 3 33 34 24 1 1 52 1 29 40 32 1 1 27 2 42 40 24 5 2 45 5 27 55 24 4 1 27 4 47 44 38 3 1 25 4 17 44 36 4 1 28 4 34 48 24 5 1 25 3 32 51 18 4 1 52 4 25 49 34 4 1 44 3 27 33 23 2 2 43 3 37 43 35 3 2 47 4 34 44 22 4 2 52 4 27 44 34 3 2 40 2 37 41 28 4 1 42 3 32 45 34 3 1 45 5 26 44 32 4 1 45 2 29 44 24 1 1 50 5 28 40 34 2 1 49 3 19 48 33 3 1 52 2 46 49 33 3 2 48 3 31 46 29 5 2 51 3 42 49 38 4 2 49 4 33 55 24 3 2 31 4 39 51 25 3 2 43 3 27 46 37 3 2 31 3 35 37 33 3 2 28 4 23 43 30 4 2 43 4 32 41 22 3 2 31 3 22 45 28 2 2 51 3 17 39 24 4 2 58 4 35 38 33 2 2 25 5 34 41 37
Names of X columns:
Teamwork33 geslacht leeftijd opleiding Neuroticisme Extraversie Openheid
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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