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Type 'q()' to quit R. > x <- array(list(277,5884,1220,232,5912,1208,256,6022,1230,242,5941,1229,282,5917,1251,288,5994,1255,321,6106,1287,316,6057,1280,362,6016,1283,392,6048,1295,414,6108,1320,417,6060,1295,488,6031,1342,489,6071,1342,467,6111,1349,460,6058,1328,510,6013,1370,493,6068,1378,476,6129,1380,448,6086,1365,466,6075,1379,417,6113,1355,387,6170,1378,370,6153,1372,396,6164,1403,349,6225,1406,326,6307,1409,303,6243,1419,329,6248,1466,304,6302,1485,286,6358,1492,281,6308,1494,344,6299,1530,369,6335,1517,390,6358,1516,406,6285,1486,467,6299,1463,437,6334,1460,410,6351,1502,390,6315,1488),dim=c(3,40),dimnames=list(c('Werklozen_totaal','Autochtonen','Allochtonen'),1:40)) > y <- array(NA,dim=c(3,40),dimnames=list(c('Werklozen_totaal','Autochtonen','Allochtonen'),1:40)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'kendall' > main = 'Correlation Matrix' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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/wessaorg/rcomp/tmp/1oll21323870544.ps",horizontal=F,onefile=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) Warning messages: 1: In cor.test.default(x, y, method = par1) : Cannot compute exact p-value with ties 2: In cor.test.default(x, y, method = par1) : Cannot compute exact p-value with ties 3: In cor.test.default(x, y, method = par1) : Cannot compute exact p-value with ties > dev.off() null device 1 > > #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > n <- length(y[,1]) > n [1] 3 > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,' ',header=TRUE) > for (i in 1:n) { + a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) + } > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) + for (j in 1:n) { + r <- cor.test(y[i,],y[j,],method=par1) + a<-table.element(a,round(r$estimate,3)) + } + a<-table.row.end(a) + } Warning messages: 1: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 2: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 3: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 4: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 5: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 6: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 7: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 8: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties 9: In cor.test.default(y[i, ], y[j, ], method = par1) : Cannot compute exact p-value with ties > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2fdcs1323870544.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 0.1049, p-value = 0.9165 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.01157557 Warning message: In cor.test.default(y[1, ], y[2, ], method = par1) : Cannot compute exact p-value with ties > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$estimate,4)) + rs <- cor.test(y[i,],y[j,],method='spearman') + a<-table.element(a,round(rs$estimate,4)) + rk <- cor.test(y[i,],y[j,],method='kendall') + a<-table.element(a,round(rk$estimate,4)) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'p-value',header=T) + a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) + a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) + a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) + a<-table.row.end(a) + } + } Warning messages: 1: In cor.test.default(y[i, ], y[j, ], method = "spearman") : Cannot compute exact p-values with ties 2: In cor.test.default(y[i, ], y[j, ], method = "kendall") : Cannot compute exact p-value with ties 3: In cor.test.default(y[i, ], y[j, ], method = "spearman") : Cannot compute exact p-values with ties 4: In cor.test.default(y[i, ], y[j, ], method = "kendall") : Cannot compute exact p-value with ties 5: In cor.test.default(y[i, ], y[j, ], method = "spearman") : Cannot compute exact p-values with ties 6: In cor.test.default(y[i, ], y[j, ], method = "kendall") : Cannot compute exact p-value with ties > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/3tqr51323870544.tab") > > try(system("convert tmp/1oll21323870544.ps tmp/1oll21323870544.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.592 0.082 0.666