R version 2.8.0 (2008-10-20) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list(0.1,0,0.1,0.2,-0.4,-0.2,0,0.1,0,0.2,0.0,0,0.1,-0.1,0,-1.2,-0.8,-0.1,0,0.1,0,1.6,1.1,0.2,-1.8E-15,0,0,-623.2,-0.9,-394.1,0,1306,-0.1,-608.1,0.1,-435.5,0,-130.1,0,-58.2,0.8,239.7,0.1,329.8,-0.2,-1073.1,-1,-370.7,-0.1,929.8,0,103.8,0.6,-1504.4,0,1795.2,0,-333.8,0,188.4,0,-356.1,-0.1,780.7,0.2,-2617.6,0,2898.8,0.1,-1021.2,-0.8,107.9,0,-293,-0.1,-761.3,0.1,1923.1,0,-1314.5,-0.2,-1568,0.1,2105.6,-0.1,-586.4,-0.1,-544.1,0.3,1391.9,-0.2,-804.8,-0.2,471.7,0.5,842),dim=c(2,48),dimnames=list(c('Werkloosheid','Totale.uitvoer'),1:48)) > y <- array(NA,dim=c(2,48),dimnames=list(c('Werkloosheid','Totale.uitvoer'),1:48)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > main = 'Kendall tau Correlation Plot' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: Write here your technical program description (don't use hard returns!) > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method='kendall') + r <- round(rr$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/1f9nm1229619025.ps",horizontal=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) Warning message: In cor.test.default(x, y, method = "kendall") : Cannot compute exact p-value with ties > 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") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'tau',1,TRUE) > a<-table.element(a,'p-value',1,TRUE) > a<-table.row.end(a) > n <- length(y[,1]) > n [1] 2 > cor.test(y[1,],y[2,],method='kendall') Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 1.6902, p-value = 0.09098 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.1807748 Warning message: In cor.test.default(y[1, ], y[2, ], method = "kendall") : Cannot compute exact p-value with ties > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste('tau(',dimnames(t(x))[[2]][i]) + dum <- paste(dum,',') + dum <- paste(dum,dimnames(t(x))[[2]][j]) + dum <- paste(dum,')') + a<-table.element(a,dum,header=TRUE) + r <- cor.test(y[i,],y[j,],method='kendall') + a<-table.element(a,r$estimate) + a<-table.element(a,r$p.value) + a<-table.row.end(a) + } + } Warning message: In cor.test.default(y[i, ], y[j, ], method = "kendall") : Cannot compute exact p-value with ties > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2e0jl1229619025.tab") > > system("convert tmp/1f9nm1229619025.ps tmp/1f9nm1229619025.png") > > > proc.time() user system elapsed 0.426 0.211 0.532