R version 2.5.1 (2007-06-27) 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. 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(0.9,0.85,0.83,0.84,0.85,0.83,0.83) > x <- c(4.8,-4.2,1.6,5.2,9.2,4.6,10.6) > ylab = 'Liquitideit in enge zin' > xlab = 'Netto rentabiliteit EV na belastingen' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_kendall.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: uses the Kendall library. The dataset is about O-rings of the Challenger space shuttle - sourcecomes from http://exploringdata.cqu.edu.au/ws_scatr.htm : x = temperature y = damage index. > library('Kendall') > k <- Kendall(x,y) > postscript(file="/var/www/html/rcomp/tmp/1daxh1193424400.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > > plot(x,y,main='Scatterplot',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2cpig1193424400.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > > plot(rank(x),rank(y),main='Scatterplot of Ranks',xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > load(file='/var/www/html/rcomp/createtable') > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Kendall tau Rank Correlation',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Kendall tau',header=TRUE) > a<-table.element(a,k$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/3rlts1193424400.tab") > > system("convert tmp/1daxh1193424400.ps tmp/1daxh1193424400.png") > system("convert tmp/2cpig1193424400.ps tmp/2cpig1193424400.png") > > > proc.time() user system elapsed 0.838 0.336 0.929