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Data X:
6.3 2 4.50 1 7 42 3 1 3 2.1 1.8 69 2.547 4.603 624 3 5 4 9.1 0.7 27 11 180 180 4 4 4 15.8 3.9 19 0.023 0.3 35 1 1 1 5.2 1 30.4 160 169 392 4 5 4 10.9 3.6 28 3 26 63 1 2 1 8.3 1.4 50 52 440 230 1 1 1 11 1.5 7 0.425 6 112 5 4 4 3.2 0.7 30 465 423 281 5 5 5 6.3 2.1 3.5 0.075 1 42 1 1 1 8.6 0 50 3 25 28 2 2 2 6.6 4.1 6 0.785 4 42 2 2 2 9.5 1.2 10.4 0.2 5 120 2 2 2 3.3 0.5 20 28 115 148 5 5 5 11 3.4 3.9 0.12 1 16 3 1 2 4.7 1.5 41 85 325 310 1 3 1 10.4 3.4 9 0.101 4 28 5 1 3 7.4 0.8 7.6 1 6 68 5 3 4 2.1 0.8 46 521 655 336 5 5 5 7.7 1.4 2.6 0.005 0.14 21.5 5 2 4 17.9 2 24 0.01 0.25 50 1 1 1 6.1 1.9 100 62 1.320 267 1 1 1 11.9 1.3 3.2 0.023 0.4 19 4 1 3 10.8 2 2 0.048 0.33 30 4 1 3 13.8 5.6 5 2 6 12 2 1 1 14.3 3.1 6.5 4 11 120 2 1 1 15.2 1.8 12 0.48 16 140 2 2 2 10 0.9 20.2 10 115 170 4 4 4 11.9 1.8 13 2 11 17 2 1 2 6.5 1.9 27 192 180 115 4 4 4 7.5 0.9 18 3 12 31 5 5 5 10.6 2.6 4.7 0.28 2 21 3 1 3 7.4 2.4 9.8 4 50 52 1 1 1 8.4 1.2 29 7 179 164 2 3 2 5.7 0.9 7 0.75 12 225 2 2 2 4.9 0.5 6 4 21 225 3 2 3 3.2 0.6 20 56 175 151 5 5 5 11 2.3 4.5 0.9 3 60 2 1 2 4.9 0.5 7.5 2 12 200 3 1 3 13.2 2.6 2.3 0.104 3 46 3 2 2 9.7 0.6 24 4 58 210 4 3 4 12.8 6.6 3 4 4 14 2 1 1
Names of X columns:
SWS PS L Wb Wbr Tg P S D
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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