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Type 'q()' to quit R. > x <- array(list(12008.00 + ,4.00 + ,9169.00 + ,5.90 + ,8788.00 + ,7.10 + ,8417.00 + ,10.50 + ,8247.00 + ,15.10 + ,8197.00 + ,16.80 + ,8236.00 + ,15.30 + ,8253.00 + ,18.40 + ,7733.00 + ,16.10 + ,8366.00 + ,11.30 + ,8626.00 + ,7.90 + ,8863.00 + ,5.60 + ,10102.00 + ,3.40 + ,8463.00 + ,4.80 + ,9114.00 + ,6.50 + ,8563.00 + ,8.50 + ,8872.00 + ,15.10 + ,8301.00 + ,15.70 + ,8301.00 + ,18.70 + ,8278.00 + ,19.20 + ,7736.00 + ,12.90 + ,7973.00 + ,14.40 + ,8268.00 + ,6.20 + ,9476.00 + ,3.30 + ,11100.00 + ,4.60 + ,8962.00 + ,7.10 + ,9173.00 + ,7.80 + ,8738.00 + ,9.90 + ,8459.00 + ,13.60 + ,8078.00 + ,17.10 + ,8411.00 + ,17.80 + ,8291.00 + ,18.60 + ,7810.00 + ,14.70 + ,8616.00 + ,10.50 + ,8312.00 + ,8.60 + ,9692.00 + ,4.40 + ,9911.00 + ,2.30 + ,8915.00 + ,2.80 + ,9452.00 + ,8.80 + ,9112.00 + ,10.70 + ,8472.00 + ,13.90 + ,8230.00 + ,19.30 + ,8384.00 + ,19.50 + ,8625.00 + ,20.40 + ,8221.00 + ,15.30 + ,8649.00 + ,7.90 + ,8625.00 + ,8.30 + ,10443.00 + ,4.50 + ,10357.00 + ,3.20 + ,8586.00 + ,5.00 + ,8892.00 + ,6.60 + ,8329.00 + ,11.10 + ,8101.00 + ,12.80 + ,7922.00 + ,16.30 + ,8120.00 + ,17.40 + ,7838.00 + ,18.90 + ,7735.00 + ,15.80 + ,8406.00 + ,11.70 + ,8209.00 + ,6.40 + ,9451.00 + ,2.90 + ,10041.00 + ,4.70 + ,9411.00 + ,2.40 + ,10405.00 + ,7.20 + ,8467.00 + ,10.70 + ,8464.00 + ,13.40 + ,8102.00 + ,18.30 + ,7627.00 + ,18.40 + ,7513.00 + ,16.80 + ,7510.00 + ,16.60 + ,8291.00 + ,14.10 + ,8064.00 + ,6.10 + ,9383.00 + ,3.50 + ,9706.00 + ,1.70 + ,8579.00 + ,2.30 + ,9474.00 + ,4.50 + ,8318.00 + ,9.30 + ,8213.00 + ,14.20 + ,8059.00 + ,17.30 + ,9111.00 + ,23.00 + ,7708.00 + ,16.30 + ,7680.00 + ,18.40 + ,8014.00 + ,14.20 + ,8007.00 + ,9.10 + ,8718.00 + ,5.90 + ,9486.00 + ,7.20 + ,9113.00 + ,6.80 + ,9025.00 + ,8.00 + ,8476.00 + ,14.30 + ,7952.00 + ,14.60 + ,7759.00 + ,17.50 + ,7835.00 + ,17.20 + ,7600.00 + ,17.20 + ,7651.00 + ,14.10 + ,8319.00 + ,10.40 + ,8812.00 + ,6.80 + ,8630.00 + ,4.10) + ,dim=c(2 + ,96) + ,dimnames=list(c('Sterftecijfers' + ,'Temperatuur ') + ,1:96)) > y <- array(NA,dim=c(2,96),dimnames=list(c('Sterftecijfers','Temperatuur '),1:96)) > 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' > par1 <- 'pearson' > #'GNU S' R Code compiled by R2WASP v. 1.2.291 () > #Author: root > #To cite this work: Patrick Wessa, (2012), Multivariate Correlation Matrix (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/ > #Source of accompanying publication: > # > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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/fisher/rcomp/tmp/140k11355163570.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 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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/fisher/rcomp/createtable") > > n <- length(y[,1]) > n [1] 2 > 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$estimate,3)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/fisher/rcomp/tmp/21dug1355163570.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Pearson's product-moment correlation data: y[1, ] and y[2, ] t = -8.7792, df = 94, p-value = 7.232e-14 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.7683118 -0.5439275 sample estimates: cor -0.6712173 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$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 message: 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/fisher/rcomp/tmp/3h6b71355163570.tab") > > try(system("convert tmp/140k11355163570.ps tmp/140k11355163570.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.972 0.264 1.215