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Type 'q()' to quit R. > x <- array(list(2148,77.405,82.145,315.4,2118,85.056,78.213,329.3,1603,90.088,88.099,308.2,2066,99.285,106.25,335.8,2095,80.428,80.487,343.7,2210,88.017,80.336,349.2,1609,93.489,90.065,312.4,1964,103.961,108.888,337.6,2114,82.591,82.747,360.2,2054,90.913,82.213,372.1,1424,96.787,93.41,341.8,2025,106.045,109.465,377.4,2003,84.752,84.373,337.2,2017,94.173,98.715,384.6,1528,97.733,99.646,358.6,2130,108.499,115.239,383.4,2017,87.972,89.082,384.4,2260,96.091,89.934,402.7,1805,101.846,99.957,372.1,2394,115.652,122.717,364.9,2586,91.269,95.895,314.9,2429,100.911,97.085,320.7,1910,105.248,109.414,308.6,2515,118.681,126.945,328.7),dim=c(4,24),dimnames=list(c('FallBelg','Brutoloonindex','wgbijdrage','brutoomzetindex '),1:24)) > y <- array(NA,dim=c(4,24),dimnames=list(c('FallBelg','Brutoloonindex','wgbijdrage','brutoomzetindex '),1:24)) > 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' > par1 <- 'pearson' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Patrick Wessa > #To cite this work: Patrick Wessa, (2010), Multivariate Correlation Matrix (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/ > #Source of accompanying publication: > #Technical description: > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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/www/html/rcomp/tmp/17ta31291974206.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) Warning messages: 1: In strwidth(labels, "user") : font width unknown for character 0xd 2: In text.default(x, y, txt, cex = cex, font = font) : font width unknown for character 0xd 3: In text.default(x, y, txt, cex = cex, font = font) : font metrics unknown for character 0xd > 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") > > n <- length(y[,1]) > n [1] 4 > 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$estimate,3)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/23lpc1291974206.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Pearson's product-moment correlation data: y[1, ] and y[2, ] t = 0.7719, df = 22, p-value = 0.4484 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.2579003 0.5310027 sample estimates: cor 0.1623909 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$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 7: In cor.test.default(y[i, ], y[j, ], method = "spearman") : Cannot compute exact p-values with ties 8: In cor.test.default(y[i, ], y[j, ], method = "kendall") : Cannot compute exact p-value with ties 9: In cor.test.default(y[i, ], y[j, ], method = "spearman") : Cannot compute exact p-values with ties 10: 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/www/html/rcomp/tmp/3hvnl1291974206.tab") > > try(system("convert tmp/17ta31291974206.ps tmp/17ta31291974206.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.478 0.208 0.974