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Type 'q()' to quit R. > x <- array(list(1000.00 + ,6600.00 + ,6.3 + ,2.0 + ,8.3 + ,4.5 + ,42.0 + ,3.00 + ,1.00 + ,3.00 + ,2547000.00 + ,4603000.00 + ,2.1 + ,1.8 + ,3.9 + ,69.0 + ,624.0 + ,3.00 + ,5.00 + ,4.00 + ,10550.00 + ,179500.00 + ,9.1 + ,0.7 + ,9.8 + ,27.0 + ,180.0 + ,4.00 + ,4.00 + ,4.00 + ,0.023 + ,0.300 + ,15.8 + ,3.9 + ,19.7 + ,19.0 + ,35.0 + ,1.00 + ,1.00 + ,1.00 + ,160000.00 + ,169000.00 + ,5.2 + ,1.0 + ,6.2 + ,30.4 + ,392.0 + ,4.00 + ,5.00 + ,4.00 + ,3300.00 + ,25600.00 + ,10.9 + ,3.6 + ,14.5 + ,28.0 + ,63.0 + ,1.00 + ,2.00 + ,1.00 + ,52160.00 + ,440000.00 + ,8.3 + ,1.4 + ,9.7 + ,50.0 + ,230.0 + ,1.00 + ,1.00 + ,1.00 + ,0.425 + ,6400.00 + ,11.0 + ,1.5 + ,12.5 + ,7.0 + ,112.0 + ,5.00 + ,4.00 + ,4.00 + ,465000.00 + ,423000.00 + ,3.2 + ,0.7 + ,3.9 + ,30.0 + ,281.0 + ,5.00 + ,5.00 + ,5.00 + ,0.075 + ,1200.00 + ,6.3 + ,2.1 + ,8.4 + ,3.5 + ,42.0 + ,1.00 + ,1.00 + ,1.00 + ,0.785 + ,3500.00 + ,6.6 + ,4.1 + ,10.7 + ,6.0 + ,42.0 + ,2.00 + ,2.00 + ,2.00 + ,0.200 + ,5000.00 + ,9.5 + ,1.2 + ,10.7 + ,10.4 + ,120.0 + ,2.00 + ,2.00 + ,2.00 + ,27660.00 + ,115000.00 + ,3.3 + ,0.5 + ,3.8 + ,20.0 + ,148.0 + ,5.00 + ,5.00 + ,5.00 + ,0.120 + ,1000.00 + ,11.0 + ,3.4 + ,14.4 + ,3.9 + ,16.0 + ,3.00 + ,1.00 + ,2.00 + ,85000.00 + ,325000.00 + ,4.7 + ,1.5 + ,6.2 + ,41.0 + ,310.0 + ,1.00 + ,3.00 + ,1.00 + ,0.101 + ,4000.00 + ,10.4 + ,3.4 + ,13.8 + ,9.0 + ,28.0 + ,5.00 + ,1.00 + ,3.00 + ,1040.00 + ,5500.00 + ,7.4 + ,0.8 + ,8.2 + ,7.6 + ,68.0 + ,5.00 + ,3.00 + ,4.00 + ,521000.00 + ,655000.00 + ,2.1 + ,0.8 + ,2.9 + ,46.0 + ,336.0 + ,5.00 + ,5.00 + ,5.00 + ,0.010 + ,0.250 + ,17.9 + ,2.0 + ,19.9 + ,24.0 + ,50.0 + ,1.00 + ,1.00 + ,1.00 + ,62000.00 + ,1320000.00 + ,6.1 + ,1.9 + ,8.0 + ,100.0 + ,267.0 + ,1.00 + ,1.00 + ,1.00 + ,.023 + ,0.400 + ,11.9 + ,1.3 + ,13.2 + ,3.2 + ,19.0 + ,4.00 + ,1.00 + ,3.00 + ,1700.00 + ,6300.00 + ,13.8 + ,5.6 + ,19.4 + ,5.0 + ,12.0 + ,2.00 + ,1.00 + ,1.00 + ,3500.00 + ,10800.00 + ,14.3 + ,3.1 + ,17.4 + ,6.5 + ,120.0 + ,2.00 + ,1.00 + ,1.00 + ,0.480 + ,15500.00 + ,15.2 + ,1.8 + ,17.0 + ,12.0 + ,140.0 + ,2.00 + ,2.00 + ,2.00 + ,10000.00 + ,115000.00 + ,10.0 + ,0.9 + ,10.9 + ,20.2 + ,170.0 + ,4.00 + ,4.00 + ,4.00 + ,1620.00 + ,11400.00 + ,11.9 + ,1.8 + ,13.7 + ,13.0 + ,17.0 + ,2.00 + ,1.00 + ,2.00 + ,192000.00 + ,180000.00 + ,6.5 + ,1.9 + ,8.4 + ,27.0 + ,115.0 + ,4.00 + ,4.00 + ,4.00 + ,2500.00 + ,12100.00 + ,7.5 + ,0.9 + ,8.4 + ,18.0 + ,31.0 + ,5.00 + ,5.00 + ,5.00 + ,0.280 + ,1900.00 + ,10.6 + ,2.6 + ,13.2 + ,4.7 + ,21.0 + ,3.00 + ,1.00 + ,3.00 + ,4235.00 + ,50400.00 + ,7.4 + ,2.4 + ,9.8 + ,9.8 + ,52.0 + ,1.00 + ,1.00 + ,1.00 + ,6800.00 + ,179000.00 + ,8.4 + ,1.2 + ,9.6 + ,29.0 + ,164.0 + ,2.00 + ,3.00 + ,2.00 + ,0.750 + ,12300.00 + ,5.7 + ,0.9 + ,6.6 + ,7.0 + ,225.0 + ,2.00 + ,2.00 + ,2.00 + ,3600.00 + ,21000.00 + ,4.9 + ,0.5 + ,5.4 + ,6.0 + ,225.0 + ,3.00 + ,2.00 + ,3.00 + ,55500.00 + ,175000.00 + ,3.2 + ,0.6 + ,3.8 + ,20.0 + ,151.0 + ,5.00 + ,5.00 + ,5.00 + ,0.900 + ,2600.00 + ,11.0 + ,2.3 + ,13.3 + ,4.5 + ,60.0 + ,2.00 + ,1.00 + ,2.00 + ,2000.00 + ,12300.00 + ,4.9 + ,0.5 + ,5.4 + ,7.5 + ,200.0 + ,3.00 + ,1.00 + ,3.00 + ,0.104 + ,2500.00 + ,13.2 + ,2.6 + ,15.8 + ,2.3 + ,46.0 + ,3.00 + ,2.00 + ,2.00 + ,4190.00 + ,58000.00 + ,9.7 + ,0.6 + ,10.3 + ,24.0 + ,210.0 + ,4.00 + ,3.00 + ,4.00 + ,3500.00 + ,3900.00 + ,12.8 + ,6.6 + ,19.4 + ,3.0 + ,14.0 + ,2.00 + ,1.00 + ,1.00) + ,dim=c(10 + ,39) + ,dimnames=list(c('Bodyweightkg' + ,'brainweightkg' + ,'slowwavesleep' + ,'paradoxicalsleep' + ,'totalsleep' + ,'maxlifespan' + ,'gestationtime' + ,'predationindex' + ,'sleepexposureindex' + ,'overalldangerindex') + ,1:39)) > y <- array(NA,dim=c(10,39),dimnames=list(c('Bodyweightkg','brainweightkg','slowwavesleep','paradoxicalsleep','totalsleep','maxlifespan','gestationtime','predationindex','sleepexposureindex','overalldangerindex'),1:39)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'pearson' > main = 'Correlation Matrix' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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', ...) + } > postscript(file="/var/www/html/rcomp/tmp/1pkk11291899636.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > n <- length(y[,1]) > n [1] 10 > 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$estimate,3)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2luis1291899636.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Pearson's product-moment correlation data: y[1, ] and y[2, ] t = 19.7441, df = 37, p-value < 2.2e-16 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: 0.9165168 0.9766892 sample estimates: cor 0.955675 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$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) + } + } There were 50 or more warnings (use warnings() to see the first 50) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/37vgy1291899636.tab") > > try(system("convert tmp/1pkk11291899636.ps tmp/1pkk11291899636.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.163 0.336 2.335