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Type 'q()' to quit R. > x <- array(list(-4.4 + ,11.1 + ,-1.4 + ,14 + ,-0.4 + ,6 + ,-9.4 + ,8.7 + ,-5.4 + ,8.3 + ,-12.9 + ,10.7 + ,-3.4 + ,6.7 + ,-5.1 + ,9.4 + ,-4.5 + ,-2.2 + ,-12.9 + ,1.9 + ,-7.3 + ,5.9 + ,-21.2 + ,10.3 + ,-5.6 + ,8 + ,-5.3 + ,12.2 + ,-18.4 + ,6.7 + ,-5.3 + ,12.6 + ,-5.1 + ,15.5 + ,-11.5 + ,9.5 + ,-25.1 + ,7.9 + ,1.8 + ,11.6 + ,7 + ,8.9 + ,-9.8 + ,12 + ,11.7 + ,21.1 + ,-13.4 + ,19.8 + ,-1.1 + ,-10 + ,-9.1 + ,-6.4 + ,0.7 + ,0.3 + ,-6.8 + ,5.1 + ,8.6 + ,7.8 + ,-9.2 + ,2.5 + ,7.1 + ,0.2 + ,-11.3 + ,2.1 + ,-7 + ,4 + ,-0.2 + ,6.3 + ,3.3 + ,15.8 + ,6.9 + ,9.5 + ,-1.7 + ,2.6 + ,-0.5 + ,6.2 + ,11.5 + ,6.6 + ,1.3 + ,4.3 + ,11.4 + ,4.5 + ,-10.9 + ,6.9 + ,19.6 + ,-3.8 + ,-7.5 + ,4.3 + ,3.3 + ,6.8 + ,-12.1 + ,5.3 + ,-0.8 + ,6.8 + ,-10.7 + ,5.2 + ,9.1 + ,8.1 + ,-3.1 + ,9.9 + ,4.1 + ,1.2 + ,-9.1 + ,-1.1 + ,3.5 + ,-0.6 + ,-8.5 + ,1.4 + ,0.1 + ,3.8 + ,-3.8 + ,5.9 + ,2.6 + ,7.7 + ,-9.6 + ,9.5 + ,5.7 + ,-5.5 + ,-10.5 + ,-4.7 + ,12.3 + ,-10 + ,4.7 + ,-3.6 + ,0.3 + ,-1.1 + ,-4.7 + ,-3.6 + ,5.3 + ,-1.1 + ,0.3 + ,-0.8 + ,-10.1 + ,-3.9 + ,-9.2 + ,-3.8 + ,4.3 + ,0.3 + ,4.3 + ,-1.8 + ,6.5 + ,-12.5 + ,2.9 + ,-11.5 + ,3.2 + ,2.3 + ,0.1 + ,1.8 + ,6.1 + ,6.9 + ,5.5 + ,7 + ,6.5 + ,10.8 + ,4.6 + ,11.7 + ,-1.1 + ,-2.2 + ,2 + ,3.3 + ,19.8 + ,8.2 + ,4.6 + ,3.7 + ,9.6 + ,3.8 + ,3.8 + ,6.1 + ,0.7 + ,4.1 + ,-7.7 + ,1.9 + ,3.1 + ,5.1 + ,1.4 + ,6.7 + ,7 + ,0.7 + ,-5 + ,4.3 + ,18.1 + ,12.4 + ,6.4 + ,10.6 + ,12.1 + ,6 + ,-8.7 + ,4.4 + ,13.7 + ,3.3 + ,0 + ,11.9 + ,11.8 + ,4.7 + ,-3.2 + ,2.7 + ,6.7 + ,1.2 + ,-6.1 + ,2.6 + ,9.2 + ,-0.9 + ,-6.6 + ,1.7 + ,17.1 + ,2.9 + ,-7.1 + ,3 + ,3.2 + ,-2 + ,-9.6 + ,2.1 + ,15.5 + ,3.1 + ,-4.6 + ,5.4 + ,15.9 + ,10.5 + ,1.7 + ,7.5 + ,10.3 + ,1.4 + ,3.2 + ,0.6 + ,11.8 + ,-6.9 + ,-0.6 + ,-3.3 + ,7.9 + ,2 + ,1.3 + ,-3.1 + ,8.3 + ,-0.8 + ,4.2 + ,3 + ,8.2 + ,0.9 + ,-4.4 + ,3 + ,3.6 + ,2 + ,1.1 + ,3 + ,18.2 + ,3.9 + ,-0.8 + ,4.1 + ,6.9 + ,-9.1 + ,1 + ,-3.4 + ,17.2 + ,15.5 + ,8.5 + ,8.6 + ,10.5 + ,-4.5 + ,6.2 + ,-3.2 + ,7.3 + ,-2.5 + ,-4 + ,0.5 + ,9.9 + ,3.1 + ,4.4 + ,0.3 + ,9.9 + ,-9.5 + ,-3.3 + ,-3.6 + ,7 + ,9.4 + ,-4.5 + ,3.7) + ,dim=c(4 + ,69) + ,dimnames=list(c('Inv.Goed.' + ,'Tot.Consg.' + ,'Duurz.Consg.' + ,'N-Duurz.Consg.') + ,1:69)) > y <- array(NA,dim=c(4,69),dimnames=list(c('Inv.Goed.','Tot.Consg.','Duurz.Consg.','N-Duurz.Consg.'),1:69)) > 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/1v1i81229167341.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 = -0.3005, p-value = 0.7638 alternative hypothesis: true tau is not equal to 0 sample estimates: tau -0.02483940 > 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/2a7wd1229167341.tab") > > system("convert tmp/1v1i81229167341.ps tmp/1v1i81229167341.png") > > > proc.time() user system elapsed 0.476 0.199 0.578