R version 2.9.0 (2009-04-17) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list(1579 + ,0 + ,4.0 + ,45.7 + ,17.0 + ,2146 + ,0 + ,5.9 + ,81.9 + ,21.0 + ,2462 + ,0 + ,7.1 + ,56.8 + ,21.0 + ,3695 + ,0 + ,10.5 + ,65.1 + ,18.0 + ,4831 + ,0 + ,15.1 + ,86.2 + ,20.0 + ,5134 + ,0 + ,16.8 + ,35.1 + ,11.0 + ,6250 + ,0 + ,15.3 + ,133.8 + ,20.0 + ,5760 + ,0 + ,18.4 + ,34.5 + ,13.0 + ,6249 + ,0 + ,16.1 + ,69.9 + ,14.0 + ,2917 + ,0 + ,11.3 + ,98.3 + ,23.0 + ,1741 + ,0 + ,7.9 + ,86.7 + ,24.0 + ,2359 + ,0 + ,5.6 + ,58.2 + ,22.0 + ,1511 + ,1 + ,3.4 + ,83.6 + ,17.0 + ,2059 + ,0 + ,4.8 + ,83.5 + ,18.0 + ,2635 + ,0 + ,6.5 + ,112.3 + ,24.0 + ,2867 + ,0 + ,8.5 + ,134.3 + ,23.0 + ,4403 + ,0 + ,15.1 + ,30.0 + ,8.0 + ,5720 + ,0 + ,15.7 + ,44.5 + ,10.0 + ,4502 + ,0 + ,18.7 + ,120.1 + ,18.0 + ,5749 + ,0 + ,19.2 + ,43.4 + ,13.0 + ,5627 + ,0 + ,12.9 + ,199.4 + ,23.0 + ,2846 + ,0 + ,14.4 + ,68.1 + ,14.0 + ,1762 + ,0 + ,6.2 + ,99.8 + ,15.0 + ,2429 + ,0 + ,3.3 + ,69.5 + ,18.0 + ,1169 + ,0 + ,4.6 + ,71.3 + ,18.0 + ,2154 + ,1 + ,7.2 + ,167.8 + ,20.0 + ,2249 + 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+ ,0 + ,0.7 + ,62.9 + ,12.0 + ,2238 + ,0 + ,3.6 + ,57.1 + ,20.0 + ,2179 + ,0 + ,6.7 + ,68.2 + ,15.0 + ,3218 + ,0 + ,12.5 + ,47.1 + ,15.0 + ,5139 + ,0 + ,14.4 + ,43.1 + ,17.0 + ,4990 + ,0 + ,16.5 + ,64.5 + ,11.0 + ,4914 + ,0 + ,18.7 + ,73.1 + ,20.0 + ,6084 + ,0 + ,19.4 + ,37.7 + ,9.0 + ,5672 + ,1 + ,15.8 + ,29.1 + ,10.0 + ,3548 + ,0 + ,11.3 + ,105.0 + ,17.0 + ,1793 + ,0 + ,9.7 + ,98.0 + ,25.0 + ,2086 + ,0 + ,2.9 + ,80.8 + ,19.0) + ,dim=c(5 + ,120) + ,dimnames=list(c('Huwelijken' + ,'Specialedag' + ,'Temperatuur' + ,'Neerslag' + ,'Neerslagdagen ') + ,1:120)) > y <- array(NA,dim=c(5,120),dimnames=list(c('Huwelijken','Specialedag','Temperatuur','Neerslag','Neerslagdagen '),1:120)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'pearson' > main = 'Correlation Matrix' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp#output/ > #Source of accompanying publication: > #Technical description: > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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/1dg8y1292283007.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] 5 > 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$estimate,3)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2hy7m1292283007.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Pearson's product-moment correlation data: y[1, ] and y[2, ] t = 1.5989, df = 118, p-value = 0.1125 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.03451992 0.31660002 sample estimates: cor 0.1456224 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$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 = "spearman") : Cannot compute exact p-values 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 = "spearman") : Cannot compute exact p-values 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 = "spearman") : Cannot compute exact p-values 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 = "spearman") : Cannot compute exact p-values 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 = "spearman") : Cannot compute exact p-values with ties > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/3v8nd1292283007.tab") > > try(system("convert tmp/1dg8y1292283007.ps tmp/1dg8y1292283007.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.728 0.289 1.453