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Data X:
6.3 2.0 4.5 1.000 6.600 42.0 3 1 3 2.1 1.8 69.0 2547.000 4603.000 624.0 3 5 4 9.1 .7 27.0 10.550 179.500 180.0 4 4 4 15.8 3.9 19.0 .023 .300 35.0 1 1 1 5.2 1.0 30.4 160.000 169.000 392.0 4 5 4 10.9 3.6 28.0 3.300 25.600 63.0 1 2 1 8.3 1.4 50.0 52.160 440.000 230.0 1 1 1 11.0 1.5 7.0 .425 6.400 112.0 5 4 4 3.2 .7 30.0 465.000 423.000 281.0 5 5 5 6.3 2.1 3.5 .075 1.200 42.0 1 1 1 6.6 4.1 6.0 .785 3.500 42.0 2 2 2 9.5 1.2 10.4 .200 5.000 120.0 2 2 2 3.3 .5 20.0 27.660 115.000 148.0 5 5 5 11.0 3.4 3.9 .120 1.000 16.0 3 1 2 4.7 1.5 41.0 85.000 325.000 310.0 1 3 1 10.4 3.4 9.0 .101 4.000 28.0 5 1 3 7.4 .8 7.6 1.040 5.500 68.0 5 3 4 2.1 .8 46.0 521.000 655.000 336.0 5 5 5 17.9 2.0 24.0 .010 .250 50.0 1 1 1 6.1 1.9 100.0 62.000 1320.000 267.0 1 1 1 11.9 1.3 3.2 .023 .400 19.0 4 1 3 13.8 5.6 5.0 1.700 6.300 12.0 2 1 1 14.3 3.1 6.5 3.500 10.800 120.0 2 1 1 15.2 1.8 12.0 .480 15.500 140.0 2 2 2 10.0 .9 20.2 10.000 115.000 170.0 4 4 4 11.9 1.8 13.0 1.620 11.400 17.0 2 1 2 6.5 1.9 27.0 192.000 180.000 115.0 4 4 4 7.5 .9 18.0 2.500 12.100 31.0 5 5 5 10.6 2.6 4.7 .280 1.900 21.0 3 1 3 7.4 2.4 9.8 4.235 50.400 52.0 1 1 1 8.4 1.2 29.0 6.800 179.000 164.0 2 3 2 5.7 .9 7.0 .750 12.300 225.0 2 2 2 4.9 .5 6.0 3.600 21.000 225.0 3 2 3 3.2 .6 20.0 55.500 175.000 151.0 5 5 5 11.0 2.3 4.5 .900 2.600 60.0 2 1 2 4.9 .5 7.5 2.000 12.300 200.0 3 1 3 13.2 2.6 2.3 .104 2.500 46.0 3 2 2 9.7 .6 24.0 4.190 58.000 210.0 4 3 4 12.8 6.6 3.0 3.500 3.900 14.0 2 1 1
Names of X columns:
Sloww Psleep Lifespan Weight Wbrain Gdracht Predation Splaats 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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