R version 2.6.0 (2007-10-03) Copyright (C) 2007 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. Natural language support but running in an English locale 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. > y <- c(20.8,17.1,22.3,25.1,27.7,24.9,29.5) > x <- c(4.8,-4.2,1.6,5.2,9.2,4.6,10.6) > ylab = 'Netto-rentabiliteit EV' > xlab = 'Cash-flow' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa, (2007), Kendall tau Rank Correlation (v1.0.9) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: uses the Kendall library. The dataset is about O-rings of the Challenger space shuttle - sourcecomes from http://exploringdata.cqu.edu.au/ws_scatr.htm : x = temperature y = damage index. > library('Kendall') > k <- Kendall(x,y) > postscript(file="/var/www/html/rcomp/tmp/1plfm1193423718.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > > plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2phsv1193423718.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > > plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > load(file='/var/www/html/rcomp/createtable') > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Kendall tau',header=TRUE) > a<-table.element(a,k$tau) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'2-sided p-value',header=TRUE) > a<-table.element(a,k$sl) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Score',header=TRUE) > a<-table.element(a,k$S) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Var(Score)',header=TRUE) > a<-table.element(a,k$varS) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Denominator',header=TRUE) > a<-table.element(a,k$D) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3zrhh1193423718.tab") > > system("convert tmp/1plfm1193423718.ps tmp/1plfm1193423718.png") > system("convert tmp/2phsv1193423718.ps tmp/2phsv1193423718.png") > > > proc.time() user system elapsed 1.498 0.521 1.572