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Type 'q()' to quit R. > x <- array(list(7.5 + ,9.3 + ,112.7 + ,1 + ,6.8 + ,8.3 + ,102.9 + ,1.7 + ,6.5 + ,8 + ,97.4 + ,2.4 + ,6.6 + ,8.5 + ,111.4 + ,2 + ,7.6 + ,10.4 + ,87.4 + ,2.1 + ,8 + ,11.1 + ,96.8 + ,2 + ,8.1 + ,10.9 + ,114.1 + ,1.8 + ,7.7 + ,10 + ,110.3 + ,2.7 + ,7.5 + ,9.2 + ,103.9 + ,2.3 + ,7.6 + ,9.2 + ,101.6 + ,1.9 + ,7.8 + ,9.5 + ,94.6 + ,2 + ,7.8 + ,9.6 + ,95.9 + ,2.3 + ,7.8 + ,9.5 + ,104.7 + ,2.8 + ,7.5 + ,9.1 + ,102.8 + ,2.4 + ,7.5 + ,8.9 + ,98.1 + ,2.3 + ,7.1 + ,9 + ,113.9 + ,2.7 + ,7.5 + ,10.1 + ,80.9 + ,2.7 + ,7.5 + ,10.3 + ,95.7 + ,2.9 + ,7.6 + ,10.2 + ,113.2 + ,3 + ,7.7 + ,9.6 + ,105.9 + ,2.2 + ,7.7 + ,9.2 + ,108.8 + ,2.3 + ,7.9 + ,9.3 + ,102.3 + ,2.8 + ,8.1 + ,9.4 + ,99 + ,2.8 + ,8.2 + ,9.4 + ,100.7 + ,2.8 + ,8.2 + ,9.2 + ,115.5 + ,2.2 + ,8.2 + ,9 + ,100.7 + ,2.6 + ,7.9 + ,9 + ,109.9 + ,2.8 + ,7.3 + ,9 + ,114.6 + ,2.5 + ,6.9 + ,9.8 + ,85.4 + ,2.4 + ,6.6 + ,10 + ,100.5 + ,2.3 + ,6.7 + ,9.8 + ,114.8 + ,1.9 + ,6.9 + ,9.3 + ,116.5 + ,1.7 + ,7 + ,9 + ,112.9 + ,2 + ,7.1 + ,9 + ,102 + ,2.1 + ,7.2 + ,9.1 + ,106 + ,1.7 + ,7.1 + ,9.1 + ,105.3 + ,1.8 + ,6.9 + ,9.1 + ,118.8 + ,1.8 + ,7 + ,9.2 + ,106.1 + ,1.8 + ,6.8 + ,8.8 + ,109.3 + ,1.3 + ,6.4 + ,8.3 + ,117.2 + ,1.3 + ,6.7 + ,8.4 + ,92.5 + ,1.3 + ,6.6 + ,8.1 + ,104.2 + ,1.2 + ,6.4 + ,7.7 + ,112.5 + ,1.4 + ,6.3 + ,7.9 + ,122.4 + ,2.2 + ,6.2 + ,7.9 + ,113.3 + ,2.9 + ,6.5 + ,8 + ,100 + ,3.1 + ,6.8 + ,7.9 + ,110.7 + ,3.5 + ,6.8 + ,7.6 + ,112.8 + ,3.6 + ,6.4 + ,7.1 + ,109.8 + ,4.4 + ,6.1 + ,6.8 + ,117.3 + ,4.1 + ,5.8 + ,6.5 + ,109.1 + ,5.1 + ,6.1 + ,6.9 + ,115.9 + ,5.8 + ,7.2 + ,8.2 + ,96 + ,5.9 + ,7.3 + ,8.7 + ,99.8 + ,5.4 + ,6.9 + ,8.3 + ,116.8 + ,5.5 + ,6.1 + ,7.9 + ,115.7 + ,4.8 + ,5.8 + ,7.5 + ,99.4 + ,3.2 + ,6.2 + ,7.8 + ,94.3 + ,2.7 + ,7.1 + ,8.3 + ,91 + ,2.1 + ,7.7 + ,8.4 + ,93.2 + ,1.9 + ,7.9 + ,8.2 + ,103.1 + ,0.6) + ,dim=c(4 + ,61) + ,dimnames=list(c('Werkloosheid_mannen' + ,'Werkloosheid_vrouwen' + ,'Totale_industriële_Productie' + ,'Inflatie') + ,1:61)) > y <- array(NA,dim=c(4,61),dimnames=list(c('Werkloosheid_mannen','Werkloosheid_vrouwen','Totale_industriële_Productie','Inflatie'),1:61)) > 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' > 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$counts; y <- y/max(y) + rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) + } > postscript(file="/var/www/html/freestat/rcomp/tmp/19ehe1257754054.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) > dev.off() null device 1 > > #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'tau',1,TRUE) > a<-table.element(a,'p-value',1,TRUE) > a<-table.row.end(a) > n <- length(y[,1]) > n [1] 4 > cor.test(y[1,],y[2,],method='kendall') Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 5.9759, p-value = 2.289e-09 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.5409878 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste('tau(',dimnames(t(x))[[2]][i]) + dum <- paste(dum,',') + dum <- paste(dum,dimnames(t(x))[[2]][j]) + dum <- paste(dum,')') + a<-table.element(a,dum,header=TRUE) + r <- cor.test(y[i,],y[j,],method='kendall') + a<-table.element(a,r$estimate) + a<-table.element(a,r$p.value) + a<-table.row.end(a) + } + } > a<-table.end(a) > table.save(a,file="/var/www/html/freestat/rcomp/tmp/2tfzk1257754055.tab") > > system("convert tmp/19ehe1257754054.ps tmp/19ehe1257754054.png") > > > proc.time() user system elapsed 0.717 0.296 0.808