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Type 'q()' to quit R. > x <- array(list(8.4 + ,7.6 + ,9.5 + ,25 + ,6.6 + ,8.4 + ,7.9 + ,9.1 + ,23.6 + ,6.7 + ,8.4 + ,7.9 + ,9 + ,22.3 + ,6.8 + ,8.6 + ,8.1 + ,9.3 + ,21.8 + ,7.2 + ,8.9 + ,8.2 + ,9.9 + ,20.8 + ,7.6 + ,8.8 + ,8 + ,9.8 + ,19.7 + ,7.6 + ,8.3 + ,7.5 + ,9.4 + ,18.3 + ,7.3 + ,7.5 + ,6.8 + ,8.3 + ,17.4 + ,6.4 + ,7.2 + ,6.5 + ,8 + ,17 + ,6.1 + ,7.5 + ,6.6 + ,8.5 + ,18.1 + ,6.3 + ,8.8 + ,7.6 + ,10.4 + ,23.9 + ,7.1 + ,9.3 + ,8 + ,11.1 + ,25.6 + ,7.5 + ,9.3 + ,8 + ,10.9 + ,25.3 + ,7.4 + ,8.7 + ,7.7 + ,9.9 + ,23.6 + ,7.1 + ,8.2 + ,7.5 + ,9.2 + ,21.9 + ,6.8 + ,8.3 + ,7.6 + ,9.2 + ,21.4 + ,6.9 + ,8.5 + ,7.7 + ,9.5 + ,20.6 + ,7.2 + ,8.6 + ,7.9 + ,9.6 + ,20.5 + ,7.4 + ,8.6 + ,7.8 + ,9.5 + ,20.2 + ,7.3 + ,8.2 + ,7.5 + ,9.1 + ,20.6 + ,6.9 + ,8.1 + ,7.5 + ,8.9 + ,19.7 + ,6.9 + ,8 + ,7.1 + ,9 + ,19.3 + ,6.8 + ,8.6 + ,7.5 + ,10.1 + ,22.8 + ,7.1 + ,8.7 + ,7.5 + ,10.3 + ,23.5 + ,7.2 + ,8.8 + ,7.6 + ,10.2 + ,23.8 + ,7.1 + ,8.5 + ,7.7 + ,9.6 + ,22.6 + ,7 + ,8.4 + ,7.7 + ,9.2 + ,22 + ,6.9 + ,8.5 + ,7.9 + ,9.3 + ,21.7 + ,7 + ,8.7 + ,8.1 + ,9.4 + ,20.7 + ,7.4 + ,8.7 + ,8.2 + ,9.4 + ,20.2 + ,7.5 + ,8.6 + ,8.2 + ,9.2 + ,19.1 + ,7.5 + ,8.5 + ,8.1 + ,9 + ,19.5 + ,7.4 + ,8.3 + ,7.9 + ,9 + ,18.7 + ,7.3 + ,8.1 + ,7.3 + ,9 + ,18.6 + ,7 + ,8.2 + ,6.9 + ,9.8 + ,22.2 + ,6.7 + ,8.1 + ,6.6 + ,10 + ,23.2 + ,6.5 + ,8.1 + ,6.7 + ,9.9 + ,23.5 + ,6.5 + ,7.9 + ,6.9 + ,9.3 + ,21.3 + ,6.5 + ,7.9 + ,7 + ,9 + ,20 + ,6.6 + ,7.9 + ,7.1 + ,9 + ,18.7 + ,6.8 + ,8 + ,7.2 + ,9.1 + ,18.9 + ,6.9 + ,8 + ,7.1 + ,9.1 + ,18.3 + ,6.9 + ,7.9 + ,6.9 + ,9.1 + ,18.4 + ,6.8 + ,8 + ,7 + ,9.2 + ,19.9 + ,6.8 + ,7.7 + ,6.8 + ,8.8 + ,19.2 + ,6.5 + ,7.2 + ,6.4 + ,8.3 + ,18.5 + ,6.1 + ,7.5 + ,6.7 + ,8.4 + ,20.9 + ,6 + ,7.3 + ,6.7 + ,8.1 + ,20.5 + ,5.9 + ,7 + ,6.4 + ,7.8 + ,19.4 + ,5.8 + ,7 + ,6.3 + ,7.9 + ,18.1 + ,5.9 + ,7 + ,6.2 + ,7.9 + ,17 + ,5.9 + ,7.2 + ,6.5 + ,8 + ,17 + ,6.2 + ,7.3 + ,6.8 + ,7.9 + ,17.3 + ,6.3 + ,7.1 + ,6.8 + ,7.5 + ,16.7 + ,6.2 + ,6.8 + ,6.5 + ,7.2 + ,15.5 + ,6 + ,6.6 + ,6.3 + ,6.9 + ,15.3 + ,5.8 + ,6.2 + ,5.9 + ,6.6 + ,13.7 + ,5.5 + ,6.2 + ,5.9 + ,6.7 + ,14.1 + ,5.5 + ,6.8 + ,6.4 + ,7.3 + ,17.3 + ,5.7 + ,6.9 + ,6.4 + ,7.5 + ,18.1 + ,5.8 + ,6.8 + ,6.5 + ,7.2 + ,18.1 + ,5.7) + ,dim=c(5 + ,61) + ,dimnames=list(c('Totaal' + ,'Mannen' + ,'Vrouwen' + ,'<25j' + ,'>25j') + ,1:61)) > y <- array(NA,dim=c(5,61),dimnames=list(c('Totaal','Mannen','Vrouwen','<25j','>25j'),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' > #'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/1o7db1228559901.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] 5 > cor.test(y[1,],y[2,],method='kendall') Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 8.6538, p-value < 2.2e-16 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.7885014 > 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/2uv6p1228559901.tab") > > system("convert tmp/1o7db1228559901.ps tmp/1o7db1228559901.png") > > > proc.time() user system elapsed 0.545 0.238 0.642