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Type 'q()' to quit R. > x <- array(list(8.4 + ,99 + ,100.5 + ,3.8 + ,8.4 + ,98.6 + ,100.5 + ,3.6 + ,8.4 + ,98.6 + ,100.7 + ,3.9 + ,8.6 + ,98.5 + ,101.1 + ,3.7 + ,8.9 + ,98.9 + ,101.5 + ,3.6 + ,8.8 + ,99.4 + ,101.9 + ,3.3 + ,8.3 + ,99.8 + ,102.1 + ,3.1 + ,7.5 + ,99.9 + ,102.1 + ,3.9 + ,7.2 + ,100 + ,102.1 + ,4.6 + ,7.4 + ,100.1 + ,102.4 + ,4.3 + ,8.8 + ,100.1 + ,102.8 + ,4.4 + ,9.3 + ,100.2 + ,103.1 + ,4.2 + ,9.3 + ,100.3 + ,103.1 + ,4 + ,8.7 + ,100 + ,102.9 + ,4.9 + ,8.2 + ,99.9 + ,102.4 + ,4.6 + ,8.3 + ,99.4 + ,101.9 + ,4.3 + ,8.5 + ,99.8 + ,101.3 + ,4.3 + ,8.6 + ,99.6 + ,100.7 + ,4.6 + ,8.5 + ,100 + ,100.6 + ,5.1 + ,8.2 + ,99.9 + ,101 + ,4.8 + ,8.1 + ,100.3 + ,101.5 + ,4.5 + ,7.9 + ,100.6 + ,101.9 + ,4.9 + ,8.6 + ,100.7 + ,102.1 + ,5.1 + ,8.7 + ,100.8 + ,102.3 + ,5.1 + ,8.7 + ,100.8 + ,102.5 + ,5.2 + ,8.5 + ,100.6 + ,102.9 + ,4.5 + ,8.4 + ,101.1 + ,103.6 + ,4.6 + ,8.5 + ,101.1 + ,104.3 + ,4.9 + ,8.7 + ,100.9 + ,104.8 + ,4.6 + ,8.7 + ,101.1 + ,105.2 + ,4.4 + ,8.6 + ,101.2 + ,105.7 + ,3.7 + ,8.5 + ,101.4 + ,106.1 + ,4 + ,8.3 + ,101.9 + ,106.4 + ,4.2 + ,8 + ,102.1 + ,106.3 + ,3.9 + ,8.2 + ,102.1 + ,106.3 + ,3.6 + ,8.1 + ,103 + ,106.5 + ,3.6 + ,8.1 + ,103.4 + ,107.1 + ,3.2 + ,8 + ,103.2 + ,107.7 + ,3.2 + ,7.9 + ,103.1 + ,108.3 + ,3.5 + ,7.9 + ,103 + ,109 + ,3.6 + ,8 + ,103.7 + ,109.3 + ,3.7 + ,8 + ,103.4 + ,109.6 + ,3.8 + ,7.9 + ,103.5 + ,109.7 + ,3.8 + ,8 + ,103.8 + ,109.7 + ,3.8 + ,7.7 + ,104 + ,109.5 + ,3.3 + ,7.2 + ,104.2 + ,109.3 + ,3.3 + ,7.5 + ,104.4 + ,109 + ,3.4 + ,7.3 + ,104.4 + ,108.8 + ,3.1 + ,7 + ,104.9 + ,108.8 + ,3.5 + ,7 + ,105.3 + ,108.8 + ,4.2 + ,7 + ,105.2 + ,108.7 + ,4.9 + ,7.2 + ,105.4 + ,108.3 + ,5.1 + ,7.3 + ,105.4 + ,107.8 + ,5.5 + ,7.1 + ,105.5 + ,107.2 + ,5.6 + ,6.8 + ,105.7 + ,106.4 + ,6.4 + ,6.4 + ,105.6 + ,105.7 + ,6.2 + ,6.1 + ,105.8 + ,105.3 + ,7.2 + ,6.5 + ,105.4 + ,105 + ,7.8 + ,7.7 + ,105.5 + ,104.6 + ,7.9 + ,7.9 + ,105.8 + ,104 + ,7.4 + ,7.5 + ,106.1 + ,103 + ,7.5 + ,6.9 + ,106 + ,101.6 + ,6.7 + ,6.6 + ,105.5 + ,100.2 + ,5.1 + ,6.9 + ,105.4 + ,99 + ,4.6 + ,7.7 + ,106 + ,98.1 + ,4.3 + ,8 + ,106.1 + ,97.4 + ,3.9 + ,8 + ,106.4 + ,96.9 + ,2.6 + ,7.7 + ,106 + ,96.3 + ,2.6 + ,7.3 + ,106 + ,95.9 + ,1.6 + ,7.4 + ,106 + ,95.7 + ,0.9 + ,8.1 + ,106 + ,95.5 + ,0.3 + ,8.3 + ,106.1 + ,95.3 + ,1.2 + ,8.2 + ,106.1 + ,0.8) + ,dim=c(4 + ,73) + ,dimnames=list(c('werkl' + ,'afzetp' + ,'iprod' + ,'CPI') + ,1:73)) > y <- array(NA,dim=c(4,73),dimnames=list(c('werkl','afzetp','iprod','CPI'),1:73)) > 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/1v9yp1257595472.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 = -5.902, p-value = 3.591e-09 alternative hypothesis: true tau is not equal to 0 sample estimates: tau -0.484541 > 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/2cn921257595472.tab") > > system("convert tmp/1v9yp1257595472.ps tmp/1v9yp1257595472.png") > > > proc.time() user system elapsed 0.479 0.222 0.588