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Data X:
6.3 0.3 4.5 0.000 6.600 1.6 3 1 3 2.1 0.3 69.0 3.406 4603.000 2.8 3 5 4 9.1 -0.2 27.0 1.023 179.500 2.3 4 4 4 15.8 0.6 19.0 -1.638 0.300 1.5 1 1 1 5.2 0.0 30.4 2.204 169.000 2.6 4 5 4 10.9 0.6 28.0 0.519 25.600 1.8 1 2 1 8.3 0.1 50.0 1.717 440.000 2.4 1 1 1 11.0 0.2 7.0 -0.372 6.400 2.0 5 4 4 3.2 -0.2 30.0 2.667 423.000 2.4 5 5 5 6.3 0.3 3.5 -1.125 1.200 1.6 1 1 1 6.6 0.6 6.0 -0.105 3.500 1.6 2 2 2 9.5 0.1 10.4 -0.699 5.000 2.1 2 2 2 3.3 -0.3 20.0 1.442 115.000 2.2 5 5 5 11.0 0.5 3.9 -0.921 1.000 1.2 3 1 2 4.7 0.2 41.0 1.929 325.000 2.5 1 3 1 10.4 0.5 9.0 -0.996 4.000 1.4 5 1 3 7.4 -0.1 7.6 0.017 5.500 1.8 5 3 4 2.1 -0.1 46.0 2.717 655.000 2.5 5 5 5 17.9 0.3 24.0 -2.000 0.250 1.7 1 1 1 6.1 0.3 100.0 1.792 1320.000 2.4 1 1 1 11.9 0.1 3.2 -1.638 0.400 1.3 4 1 3 13.8 0.7 5.0 0.230 6.300 1.1 2 1 1 14.3 0.5 6.5 0.544 10.800 2.1 2 1 1 15.2 0.3 12.0 -0.319 15.500 2.1 2 2 2 10.0 0.0 20.2 1.000 115.000 2.2 4 4 4 11.9 0.3 13.0 0.210 11.400 1.2 2 1 2 6.5 0.3 27.0 2.283 180.000 2.1 4 4 4 7.5 0.0 18.0 0.398 12.100 1.5 5 5 5 10.6 0.4 4.7 -0.553 1.900 1.3 3 1 3 7.4 0.4 9.8 0.627 50.400 1.7 1 1 1 8.4 0.1 29.0 0.833 179.000 2.2 2 3 2 5.7 0.0 7.0 -0.125 12.300 2.4 2 2 2 4.9 -0.3 6.0 0.556 21.000 2.4 3 2 3 3.2 -0.2 20.0 1.744 175.000 2.2 5 5 5 11.0 0.4 4.5 -0.046 2.600 1.8 2 1 2 4.9 -0.3 7.5 0.301 12.300 2.3 3 1 3 13.2 0.4 2.3 -0.983 2.500 1.7 3 2 2 9.7 -0.2 24.0 0.622 58.000 2.3 4 3 4 12.8 0.8 3.0 0.544 3.900 1.1 2 1 1
Names of X columns:
SWS logPS maxLifeSpan logBodyWeight brainWeight logGestationTime predation sleepExposure danger
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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