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Type 'q()' to quit R. > x <- array(list(5.7 + ,7.5 + ,97.33 + ,91.4 + ,6.1 + ,8 + ,97.89 + ,91.1 + ,6 + ,7.9 + ,98.69 + ,104.4 + ,5.9 + ,7.8 + ,99.01 + ,97.6 + ,5.8 + ,7.7 + ,99.18 + ,93.7 + ,5.7 + ,7.6 + ,98.45 + ,104.5 + ,5.6 + ,7.4 + ,98.13 + ,95.4 + ,5.4 + ,7.2 + ,98.29 + ,86.5 + ,5.4 + ,7.3 + ,99.1 + ,102.9 + ,5.5 + ,7.4 + ,99.26 + ,101.9 + ,5.6 + ,7.5 + ,98.85 + ,103.7 + ,5.7 + ,7.6 + ,98.05 + ,100.7 + ,5.9 + ,8 + ,98.53 + ,94.2 + ,6.1 + ,8.3 + ,99.34 + ,93.6 + ,6 + ,8.3 + ,100.14 + ,104.7 + ,5.8 + ,8.2 + ,100.3 + ,101 + ,5.8 + ,7.8 + ,100.22 + ,97.6 + ,5.7 + ,8 + ,99.9 + ,105.8 + ,5.5 + ,8 + ,99.58 + ,93.7 + ,5.3 + ,7.9 + ,99.9 + ,91.2 + ,5.2 + ,7.4 + ,100.78 + ,106.3 + ,5.2 + ,7.5 + ,100.78 + ,103.4 + ,5 + ,7.4 + ,100.46 + ,107.4 + ,5.1 + ,7.3 + ,100.06 + ,101.2 + ,5.1 + ,7.5 + ,100.28 + ,96.9 + ,5.2 + ,7.5 + ,100.78 + ,96.3 + ,4.9 + ,7.5 + ,101.58 + ,109.8 + ,4.8 + ,7.1 + ,102.06 + ,97.9 + ,4.5 + ,6.8 + ,102.02 + ,105.1 + ,4.5 + ,6.9 + ,101.68 + ,107.9 + ,4.4 + ,6.6 + ,101.32 + ,95 + ,4.4 + ,6.7 + ,101.81 + ,95.2 + ,4.2 + ,6.5 + ,102.3 + ,105.8 + ,4.1 + ,6.6 + ,102.12 + ,110.1 + ,3.9 + ,6.5 + ,102.1 + ,112.2 + ,3.8 + ,6.5 + ,101.75 + ,102.5 + ,3.9 + ,6.7 + ,101.5 + ,103.7 + ,4.2 + ,6.8 + ,102.16 + ,102 + ,4.1 + ,6.1 + ,103.47 + ,112.3 + ,3.8 + ,5.8 + ,104.05 + ,103.3 + ,3.6 + ,5.8 + ,104.09 + ,106.9 + ,3.7 + ,6.1 + ,103.55 + ,104.6 + ,3.5 + ,5.6 + ,102.77 + ,100.7 + ,3.4 + ,5.4 + ,102.89 + ,99 + ,3.1 + ,5.1 + ,103.6 + ,106.5 + ,3.1 + ,5.2 + ,103.76 + ,114.9 + ,3.1 + ,5 + ,103.92 + ,114.1 + ,3.2 + ,5.2 + ,103.35 + ,102.2 + ,3.3 + ,5.4 + ,103.32 + ,107 + ,3.5 + ,5.5 + ,104.2 + ,107.4 + ,3.6 + ,5.1 + ,105.44 + ,107.4 + ,3.5 + ,4.8 + ,105.81 + ,110.1 + ,3.3 + ,5 + ,106.25 + ,105.6 + ,3.2 + ,4.9 + ,105.94 + ,110.9 + ,3.1 + ,4.6 + ,105.82 + ,101.9 + ,3.2 + ,4.3 + ,105.96 + ,93.2 + ,3 + ,4.3 + ,106.49 + ,110.5 + ,3 + ,4.4 + ,106.32 + ,113.1 + ,3.1 + ,4.4 + ,105.88 + ,101.7 + ,3.4 + ,4.5 + ,105.07 + ,96.7) + ,dim=c(4 + ,60) + ,dimnames=list(c('Manwerkl' + ,'Vrouwwerkl' + ,'Inflat' + ,'Industrprod') + ,1:60)) > y <- array(NA,dim=c(4,60),dimnames=list(c('Manwerkl','Vrouwwerkl','Inflat','Industrprod'),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/14dll1257771296.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 = 9.4691, p-value < 2.2e-16 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.8587997 > 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/257vw1257771296.tab") > > system("convert tmp/14dll1257771296.ps tmp/14dll1257771296.png") > > > proc.time() user system elapsed 0.513 0.218 0.966