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Data X:
6.30 0.30103 0.653213 0 0.819544 1.62325 3.00 1.00 3.00 14.30 0.491362 0.812913 0.544068 1.033424 2.07918 2.00 1.00 1.00 9.10 -0.1549 1.431364 1.023252 2.254064 2.25527 4.00 4.00 4.00 15.80 0.591065 1.278754 -1.63827 -0.52288 1.54407 1.00 1.00 1.00 10.90 0.556303 1.447158 0.518514 1.40824 1.79934 1.00 2.00 1.00 8.30 0.146128 1.69897 1.717338 2.643453 2.36173 1.00 1.00 1.00 11.00 0.176091 0.845098 -0.37161 0.80618 2.04922 5.00 4.00 4.00 3.20 -0.1549 1.477121 2.667453 2.62634 2.44871 5.00 5.00 5.00 2.10 0.255273 1.838849 3.406029 3.663041 2.79518 3.00 5.00 4.00 7.40 0.380211 0.991226 0.626853 1.702431 1.71600 1.00 1.00 1.00 9.50 0.079181 1.017033 -0.69897 0.69897 2.07918 2.00 2.00 2.00 3.30 -0.30103 1.30103 1.441852 2.060698 2.17026 5.00 5.00 5.00 5.70 -0.04576 0.845098 -0.12494 1.089905 2.35218 2.00 2.00 2.00 7.40 -0.09691 0.880814 0.017033 0.740363 1.83251 5.00 3.00 4.00 11.00 0.531479 0.591065 -0.92082 0 1.20412 3.00 1.00 2.00 6.60 0.612784 0.778151 -0.10513 0.544068 1.62325 2.00 2.00 2.00 2.10 -0.09691 1.662758 2.716838 2.816241 2.52634 5.00 5.00 5.00 17.90 0.30103 1.380211 -2 -0.60206 1.69897 1.00 1.00 1.00 12.80 0.819544 0.477121 0.544068 0.591065 1.14613 2.00 1.00 1.00 6.10 0.278754 2 1.792392 3.120574 2.42651 1.00 1.00 1.00 6.30 0.322219 0.544068 -1.12494 0.079181 1.62325 1.00 1.00 1.00 11.90 0.113943 0.50515 -1.63827 -0.39794 1.27875 4.00 1.00 3.00 13.80 0.748188 0.69897 0.230449 0.799341 1.07918 2.00 1.00 1.00 15.20 0.255273 1.079181 -0.31876 1.190332 2.14613 2.00 2.00 2.00 10.00 -0.04576 1.305351 1 2.060698 2.23045 4.00 4.00 4.00 11.90 0.255273 1.113943 0.209515 1.056905 1.23045 2.00 1.00 2.00 6.50 0.278754 1.431364 2.283301 2.255273 2.06070 4.00 4.00 4.00 7.50 -0.04576 1.255273 0.39794 1.082785 1.49136 5.00 5.00 5.00 10.60 0.414973 0.672098 -0.55284 0.278754 1.32222 3.00 1.00 3.00 8.40 0.079181 1.462398 0.832509 2.252853 2.21484 2.00 3.00 2.00 4.90 -0.30103 0.778151 0.556303 1.322219 2.35218 3.00 2.00 3.00 4.70 0.176091 1.612784 1.929419 2.511883 2.49136 1.00 3.00 1.00 3.20 -0.22185 1.30103 1.744293 2.243038 2.17898 5.00 5.00 5.00 10.40 0.531479 0.954243 -0.99568 0.60206 1.44716 5.00 1.00 3.00 5.20 0 1.482874 2.20412 2.227887 2.59329 4.00 5.00 4.00 11.00 0.361728 0.653213 -0.04576 0.414973 1.77815 2.00 1.00 2.00 4.90 -0.30103 0.875061 0.30103 1.089905 2.30103 3.00 1.00 3.00 13.20 0.414973 0.361728 -0.98297 0.39794 1.66276 3.00 2.00 2.00 9.70 -0.22185 1.380211 0.622214 1.763428 2.32222 4.00 3.00 4.00
Names of X columns:
SWS log(PS) log(L) log(wB) log(wBR) log(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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