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Type 'q()' to quit R. > x <- array(list(9.3 + ,1.3 + ,785.8 + ,5 + ,8.7 + ,1.3 + ,819.3 + ,1.3 + ,8.2 + ,1.2 + ,849.4 + ,0 + ,8.3 + ,1.1 + ,880.4 + ,1.3 + ,8.5 + ,1.4 + ,900.1 + ,3 + ,8.6 + ,1.2 + ,937.2 + ,1.3 + ,8.5 + ,1.5 + ,948.9 + ,-1 + ,8.2 + ,1.1 + ,952.6 + ,-1.3 + ,8.1 + ,1.3 + ,947.3 + ,-2 + ,7.9 + ,1.5 + ,974.2 + ,-0.3 + ,8.6 + ,1.1 + ,1000.8 + ,0.7 + ,8.7 + ,1.4 + ,1032.8 + ,-6 + ,8.7 + ,1.3 + ,1050.7 + ,-1 + ,8.5 + ,1.5 + ,1057.3 + ,3 + ,8.4 + ,1.6 + ,1075.4 + ,-2 + ,8.5 + ,1.7 + ,1118.4 + ,-1.3 + ,8.7 + ,1.1 + ,1179.8 + ,1.7 + ,8.7 + ,1.6 + ,1227 + ,4 + ,8.6 + ,1.3 + ,1257.8 + ,5.3 + ,8.5 + ,1.7 + ,1251.5 + ,-3 + ,8.3 + ,1.6 + ,1236.3 + ,1.3 + ,8 + ,1.7 + ,1170.6 + ,8.7 + ,8.2 + ,1.9 + ,1213.1 + ,7.3 + ,8.1 + ,1.8 + ,1265.5 + ,7.3 + ,8.1 + ,1.9 + ,1300.8 + ,7.7 + ,8 + ,1.6 + ,1348.4 + ,4.7 + ,7.9 + ,1.5 + ,1371.9 + ,4.7 + ,7.9 + ,1.6 + ,1403.3 + ,3.7 + ,8 + ,1.6 + ,1451.8 + ,8.3 + ,8 + ,1.7 + ,1474.2 + ,8 + ,7.9 + ,2 + ,1438.2 + ,8.3 + ,8 + ,2 + ,1513.6 + ,12.7 + ,7.7 + ,1.9 + ,1562.2 + ,11.7 + ,7.2 + ,1.7 + ,1546.2 + ,9.7 + ,7.5 + ,1.8 + ,1527.5 + ,9.3 + ,7.3 + ,1.9 + ,1418.7 + ,9.3 + ,7 + ,1.7 + ,1448.5 + ,7.7 + ,7 + ,2 + ,1492.1 + ,8.3 + ,7 + ,2.1 + ,1395.4 + ,7.7 + ,7.2 + ,2.4 + ,1403.7 + ,7 + ,7.3 + ,2.5 + ,1316.6 + ,4.3 + ,7.1 + ,2.5 + ,1274.5 + ,-0.3 + ,6.8 + ,2.6 + ,1264.4 + ,4.7 + ,6.4 + ,2.2 + ,1323.9 + ,2 + ,6.1 + ,2.5 + ,1332.1 + ,0.3 + ,6.5 + ,2.8 + ,1250.2 + ,-1.7 + ,7.7 + ,2.8 + ,1096.7 + ,1.3 + ,7.9 + ,2.9 + ,1080.8 + ,-12.3 + ,7.5 + ,3 + ,1039.2 + ,-14.3 + ,6.9 + ,3.1 + ,792 + ,-15.7 + ,6.6 + ,2.9 + ,746.6 + ,-16.7 + ,6.9 + ,2.7 + ,688.8 + ,-19 + ,7.7 + ,2.2 + ,715.8 + ,-27.3 + ,8 + ,2.5 + ,672.9 + ,-26.7 + ,8 + ,2.3 + ,629.5 + ,-26.3 + ,7.7 + ,2.6 + ,681.2 + ,-28.6 + ,7.3 + ,2.3 + ,755.4 + ,-22.9 + ,7.4 + ,2.2 + ,760.6 + ,-21.9 + ,8.1 + ,1.8 + ,765.9 + ,-17.6 + ,8.3 + ,1.8 + ,836.8 + ,-17.6 + ,8.2 + ,2 + ,904.9 + ,-20.8) + ,dim=c(4 + ,61) + ,dimnames=list(c('Werkloosheidscijfer' + ,'inflatie' + ,'Herbelegde_dividenden' + ,'handelsactiviteit') + ,1:61)) > y <- array(NA,dim=c(4,61),dimnames=list(c('Werkloosheidscijfer','inflatie','Herbelegde_dividenden','handelsactiviteit'),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/1hfvq1257785760.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 = -6.3932, p-value = 1.624e-10 alternative hypothesis: true tau is not equal to 0 sample estimates: tau -0.5855056 > 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/2c1zd1257785760.tab") > > system("convert tmp/1hfvq1257785760.ps tmp/1hfvq1257785760.png") > > > proc.time() user system elapsed 0.503 0.211 0.643