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Type 'q()' to quit R. > x <- array(list(8.6 + ,1.2991 + ,-3 + ,1.7 + ,8.3 + ,1.3408 + ,-2 + ,2.4 + ,8.3 + ,1.3119 + ,-3 + ,2.0 + ,8.3 + ,1.3014 + ,-1 + ,2.1 + ,8.4 + ,1.3201 + ,3 + ,2.0 + ,8.5 + ,1.2938 + ,-4 + ,1.8 + ,8.4 + ,1.2694 + ,-15 + ,2.7 + ,8.6 + ,1.2165 + ,-17 + ,2.3 + ,8.5 + ,1.2037 + ,-14 + ,1.9 + ,8.5 + ,1.2292 + ,-9 + ,2.0 + ,8.4 + ,1.2256 + ,-17 + ,2.3 + ,8.5 + ,1.2015 + ,-7 + ,2.8 + ,8.5 + ,1.1786 + ,-6 + ,2.4 + ,8.5 + ,1.1856 + ,-1 + ,2.3 + ,8.5 + ,1.2103 + ,0 + ,2.7 + ,8.5 + ,1.1938 + ,-2 + ,2.7 + ,8.5 + ,1.2020 + ,-4 + ,2.9 + ,8.5 + ,1.2271 + ,-6 + ,3.0 + ,8.5 + ,1.2770 + ,-2 + ,2.2 + ,8.6 + ,1.2650 + ,1 + ,2.3 + ,8.4 + ,1.2684 + ,7 + ,2.8 + ,8.1 + ,1.2811 + ,2 + ,2.8 + ,8.0 + ,1.2727 + ,2 + ,2.8 + ,8.0 + ,1.2611 + ,13 + ,2.2 + ,8.0 + ,1.2881 + ,7 + ,2.6 + ,8.0 + ,1.3213 + ,-1 + ,2.8 + ,7.9 + ,1.2999 + ,1 + ,2.5 + ,7.8 + ,1.3074 + ,0 + ,2.4 + ,7.8 + ,1.3242 + ,0 + ,2.3 + ,7.9 + ,1.3516 + ,5 + ,1.9 + ,8.1 + ,1.3511 + ,3 + ,1.7 + ,8.0 + ,1.3419 + ,6 + ,2.0 + ,7.6 + ,1.3716 + ,7 + ,2.1 + ,7.3 + ,1.3622 + ,-6 + ,1.7 + ,7.0 + ,1.3896 + ,-8 + ,1.8 + ,6.8 + ,1.4227 + ,-5 + ,1.8 + ,7.0 + ,1.4684 + ,-14 + ,1.8 + ,7.1 + ,1.4570 + ,-13 + ,1.3 + ,7.2 + ,1.4718 + ,-15 + ,1.3 + ,7.1 + ,1.4748 + ,-14 + ,1.3 + ,6.9 + ,1.5527 + ,-10 + ,1.2 + ,6.7 + ,1.5750 + ,-14 + ,1.4 + ,6.7 + ,1.5557 + ,-18 + ,2.2 + ,6.6 + ,1.5553 + ,-22 + ,2.9 + ,6.9 + ,1.5770 + ,-24 + ,3.1 + ,7.3 + ,1.4975 + ,-17 + ,3.5 + ,7.5 + ,1.4369 + ,-16 + ,3.6 + ,7.3 + ,1.3322 + ,-17 + ,4.4 + ,7.1 + ,1.2732 + ,-22 + ,4.1 + ,6.9 + ,1.3449 + ,-25 + ,5.1 + ,7.1 + ,1.3239 + ,-18 + ,5.8 + ,7.5 + ,1.2785 + ,-23 + ,5.9 + ,7.7 + ,1.3050 + ,-20 + ,5.4 + ,7.8 + ,1.3190 + ,-9 + ,5.5 + ,7.8 + ,1.3650 + ,-4 + ,4.8 + ,7.7 + ,1.4016 + ,0 + ,3.2 + ,7.8 + ,1.4088 + ,3 + ,2.7 + ,7.8 + ,1.4268 + ,14 + ,2.1 + ,7.9 + ,1.4562 + ,13 + ,1.9 + ,7.9 + ,1.4816 + ,12 + ,0.6) + ,dim=c(4 + ,60) + ,dimnames=list(c('Werkls' + ,'WK' + ,'Ecg' + ,'Cprijs') + ,1:60)) > y <- array(NA,dim=c(4,60),dimnames=list(c('Werkls','WK','Ecg','Cprijs'),1:60)) > 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/rcomp/tmp/1ake71257949585.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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 = -6.9435, p-value = 3.825e-12 alternative hypothesis: true tau is not equal to 0 sample estimates: tau -0.6327655 > 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/rcomp/tmp/2uk0m1257949585.tab") > > system("convert tmp/1ake71257949585.ps tmp/1ake71257949585.png") > > > proc.time() user system elapsed 0.580 0.360 0.781