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Type 'q()' to quit R. > x <- array(list(3922 + ,22782 + ,-0.6 + ,6.7 + ,3759 + ,16169 + ,-0.2 + ,6.5 + ,4138 + ,13807 + ,-0.7 + ,6.2 + ,4634 + ,29743 + ,-0.1 + ,6.2 + ,3995 + ,25591 + ,0.7 + ,6.5 + ,4308 + ,29096 + ,1.5 + ,6.8 + ,4143 + ,26482 + ,1.6 + ,6.8 + ,4429 + ,22404 + ,2.8 + ,6.5 + ,5219 + ,27044 + ,3.3 + ,5.9 + ,4929 + ,17970 + ,3.5 + ,5.5 + ,5755 + ,18730 + ,3.9 + ,5.6 + ,5592 + ,19684 + ,4.8 + ,6 + ,4163 + ,19785 + ,5.1 + ,6.3 + ,4962 + ,18479 + ,4.9 + ,6.2 + ,5208 + ,10698 + ,5.2 + ,5.6 + ,4755 + ,31956 + ,5.1 + ,5.4 + ,4491 + ,29506 + ,4.6 + ,5.7 + ,5732 + ,34506 + ,3.7 + ,5.9 + ,5731 + ,27165 + ,3.9 + ,6.2 + ,5040 + ,26736 + ,3.1 + ,6.3 + ,6102 + ,23691 + ,2.8 + ,6.1 + ,4904 + ,18157 + ,2.6 + ,5.9 + ,5369 + ,17328 + ,2.2 + ,5.9 + ,5578 + ,18205 + ,1.8 + ,5.7 + ,4619 + ,20995 + ,1.3 + ,5.9 + ,4731 + ,17382 + ,1.2 + ,6.1 + ,5011 + ,9367 + ,1.4 + ,6.1 + ,5299 + ,31124 + ,1.3 + ,6.5 + ,4146 + ,26551 + ,1.3 + ,6.8 + ,4625 + ,30651 + ,1.9 + ,6.8 + ,4736 + ,25859 + ,1.9 + ,6.9 + ,4219 + ,25100 + ,2.1 + ,6.9 + ,5116 + ,25778 + ,2 + ,6.8 + ,4205 + ,20418 + ,1.9 + ,6.6 + ,4121 + ,18688 + ,1.9 + ,6.5 + ,5103 + ,20424 + ,1.9 + ,6.5 + ,4300 + ,24776 + ,1.8 + ,6.5 + ,4578 + ,19814 + ,1.7 + ,6.7 + ,3809 + ,12738 + ,1.6 + ,7 + ,5526 + ,31566 + ,1.7 + ,7.3 + ,4247 + ,30111 + ,1.9 + ,7.5 + ,3830 + ,30019 + ,1.7 + ,7.5 + ,4394 + ,31934 + ,1.3 + ,7.5 + ,4826 + ,25826 + ,2 + ,7.3 + ,4409 + ,26835 + ,2 + ,7.1 + ,4569 + ,20205 + ,2.3 + ,6.9 + ,4106 + ,17789 + ,2 + ,7 + ,4794 + ,20520 + ,1.7 + ,7.1 + ,3914 + ,22518 + ,2.3 + ,7.2 + ,3793 + ,15572 + ,2.4 + ,7.1 + ,4405 + ,11509 + ,2.4 + ,6.8 + ,4022 + ,25447 + ,2.3 + ,6.9 + ,4100 + ,24090 + ,2.1 + ,6.9 + ,4788 + ,27786 + ,2.1 + ,7.3 + ,3163 + ,26195 + ,2.5 + ,7.4 + ,3585 + ,20516 + ,2 + ,7.2 + ,3903 + ,22759 + ,1.8 + ,6.9 + ,4178 + ,19028 + ,1.7 + ,6.8 + ,3863 + ,16971 + ,1.9 + ,7.1 + ,4187 + ,20036 + ,2.1 + ,7.4) + ,dim=c(4 + ,60) + ,dimnames=list(c('bouwaanvragen' + ,'inschrijvingen_autos' + ,'BBP' + ,'werkloosheid') + ,1:60)) > y <- array(NA,dim=c(4,60),dimnames=list(c('bouwaanvragen','inschrijvingen_autos','BBP','werkloosheid'),1:60)) > 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/1iskm1257936152.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) > 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] 4 > cor.test(y[1,],y[2,],method='kendall') Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 1.1863, p-value = 0.2355 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.1050847 > 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) + } + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2h8jg1257936152.tab") > > system("convert tmp/1iskm1257936152.ps tmp/1iskm1257936152.png") > > > proc.time() user system elapsed 0.509 0.206 0.749