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Data X:
6.3 0.3 0.65 0 0.82 1.62 3 1 3 2.1 0.26 1.84 3.41 3.66 2.8 3 5 4 9.1 -0.15 1.43 1.02 2.25 2.26 4 4 4 15.8 0.59 1.28 -1.64 -0.52 1.54 1 1 1 5.2 0 1.48 2.2 2.23 2.59 4 5 4 10.9 0.56 1.45 0.52 1.41 1.8 1 2 1 8.3 0.15 1.7 1.72 2.64 2.36 1 1 1 11 0.18 0.85 -0.37 0.81 2.05 5 4 4 3.2 -0.15 1.48 2.67 2.63 2.45 5 5 5 6.3 0.32 0.54 -1.12 0.08 1.62 1 1 1 6.6 0.61 0.78 -0.11 0.54 1.62 2 2 2 9.5 0.08 1.02 -0.7 0.7 2.08 2 2 2 3.3 -0.3 1.3 1.44 2.06 2.17 5 5 5 11 0.53 0.59 -0.92 0 1.2 3 1 2 4.7 0.18 1.61 1.93 2.51 2.49 1 3 1 10.4 0.53 0.95 -1 0.6 1.45 5 1 3 7.4 -0.1 0.88 0.02 0.74 1.83 5 3 4 2.1 0.9 1.66 2.72 2.82 2.53 5 5 5 17.9 0.3 1.38 -2 -0.6 1.7 1 1 1 6.1 0.28 2 1.79 3.12 2.43 1 1 1 11.9 0.11 0.51 -1.64 -0.4 1.28 4 1 3 13.8 0.75 0.7 0.23 0.8 1.08 2 1 1 14.3 0.49 0.81 0.54 1.03 2.08 2 1 1 15.2 0.26 1.08 -0.32 1.19 2.15 2 2 2 10 -0.05 1.31 1 2.06 2.23 4 4 4 11.9 0.26 1.11 0.21 1.06 1.23 2 1 2 6.5 0.28 1.43 2.28 2.26 2.06 4 4 4 7.5 -0.05 1.26 0.4 1.08 1.49 5 5 5 10.6 0.41 0.67 -0.55 0.28 1.32 3 1 3 7.4 0.38 0.99 0.63 1.7 1.72 1 1 1 8.4 0.08 1.46 0.83 2.25 2.21 2 3 2 5.7 -0.05 0.85 -0.12 1.09 2.35 2 2 2 4.9 -0.3 0.78 0.56 1.32 2.35 3 2 3 3.2 -0.22 1.3 1.74 3.24 2.18 5 5 5 11 0.36 0.65 -0.05 0.41 1.78 2 1 2 4.9 -0.3 0.88 0.3 1.09 2.3 3 1 3 13.2 0.41 0.36 -0.98 0.4 1.66 3 2 2 9.7 -0.22 1.38 0.62 1.76 2.32 4 3 4 12.8 0.82 0.48 0.54 0.59 1.15 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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