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Data X:
3.00 3.82 6.3 2.0 4.5 42.0 3 1 3 6.41 6.66 2.1 1.8 69.0 624.0 3 5 4 4.02 5.25 9.1 .7 27.0 180.0 4 4 4 -1.64 -0.52 15.8 3.9 19.0 35.0 1 1 1 5.20 5.23 5.2 1.0 30.4 392.0 4 5 4 3.52 4.41 10.9 3.6 28.0 63.0 1 2 1 4.72 5.64 8.3 1.4 50.0 230.0 1 1 1 -0.37 3.81 11.0 1.5 7.0 112.0 5 4 4 5.67 5.63 3.2 .7 30.0 281.0 5 5 5 -1.12 3.08 6.3 2.1 3.5 42.0 1 1 1 3.48 4.40 8.6 .0 50.0 28.0 2 2 2 -0.11 3.54 6.6 4.1 6.0 42.0 2 2 2 -0.70 3.70 9.5 1.2 10.4 120.0 2 2 2 4.44 5.06 3.3 .5 20.0 148.0 5 5 5 -0.92 3.00 11.0 3.4 3.9 16.0 3 1 2 4.93 5.51 4.7 1.5 41.0 310.0 1 3 1 -1.00 3.60 10.4 3.4 9.0 28.0 5 1 3 3.02 3.74 7.4 .8 7.6 68.0 5 3 4 5.72 5.82 2.1 .8 46.0 336.0 5 5 5 -2.30 -0.85 7.7 1.4 2.6 21.5 5 2 4 -2.00 -0.60 17.9 2.0 24.0 50.0 1 1 1 4.79 6.12 6.1 1.9 100.0 267.0 1 1 1 -1.64 -0.40 11.9 1.3 3.2 19.0 4 1 3 -1.32 -0.48 10.8 2.0 2.0 30.0 4 1 3 3.23 3.80 13.8 5.6 5.0 12.0 2 1 1 3.54 4.03 14.3 3.1 6.5 120.0 2 1 1 -0.32 4.19 15.2 1.8 12.0 140.0 2 2 2 4.00 5.06 10.0 .9 20.2 170.0 4 4 4 3.21 4.06 11.9 1.8 13.0 17.0 2 1 2 5.28 5.26 6.5 1.9 27.0 115.0 4 4 4 3.40 4.08 7.5 .9 18.0 31.0 5 5 5 -0.55 3.28 10.6 2.6 4.7 21.0 3 1 3 3.63 4.70 7.4 2.4 9.8 52.0 1 1 1 3.83 5.25 8.4 1.2 29.0 164.0 2 3 2 -0.12 4.09 5.7 .9 7.0 225.0 2 2 2 3.56 4.32 4.9 .5 6.0 225.0 3 2 3 4.74 5.24 3.2 .6 20.0 151.0 5 5 5 -0.05 3.41 11.0 2.3 4.5 60.0 2 1 2 3.30 4.09 4.9 .5 7.5 200.0 3 1 3 -0.98 3.40 13.2 2.6 2.3 46.0 3 2 2 3.62 4.76 9.7 .6 24.0 210.0 4 3 4 3.54 3.59 12.8 6.6 3.0 14.0 2 1 1
Names of X columns:
wb wbr SWS PS Life Ges 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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