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Type 'q()' to quit R. > x <- array(list(7.9 + ,7.3 + ,1.62 + ,-0.8 + ,9.1 + ,7.6 + ,1.49 + ,-0.2 + ,9.4 + ,7.5 + ,1.79 + ,0.2 + ,9.4 + ,7.6 + ,1.8 + ,1 + ,9.1 + ,7.9 + ,1.58 + ,0 + ,9 + ,7.9 + ,1.86 + ,-0.2 + ,9.3 + ,8.1 + ,1.74 + ,1 + ,9.9 + ,8.2 + ,1.59 + ,0.4 + ,9.8 + ,8 + ,1.26 + ,1 + ,9.3 + ,7.5 + ,1.13 + ,1.7 + ,8.3 + ,6.8 + ,1.92 + ,3.1 + ,8 + ,6.5 + ,2.61 + ,3.3 + ,8.5 + ,6.6 + ,2.26 + ,3.1 + ,10.4 + ,7.6 + ,2.41 + ,3.5 + ,11.1 + ,8 + ,2.26 + ,6 + ,10.9 + ,8.1 + ,2.03 + ,5.7 + ,10 + ,7.7 + ,2.86 + ,4.7 + ,9.2 + ,7.5 + ,2.55 + ,4.2 + ,9.2 + ,7.6 + ,2.27 + ,3.6 + ,9.5 + ,7.8 + ,2.26 + ,4.4 + ,9.6 + ,7.8 + ,2.57 + ,2.5 + ,9.5 + ,7.8 + ,3.07 + ,-0.6 + ,9.1 + ,7.5 + ,2.76 + ,-1.9 + ,8.9 + ,7.5 + ,2.51 + ,-1.9 + ,9 + ,7.1 + ,2.87 + ,0.7 + ,10.1 + ,7.5 + ,3.14 + ,-0.9 + ,10.3 + ,7.5 + ,3.11 + ,-1.7 + ,10.2 + ,7.6 + ,3.16 + ,-3.1 + ,9.6 + ,7.7 + ,2.47 + ,-2.1 + ,9.2 + ,7.7 + ,2.57 + ,0.2 + ,9.3 + ,7.9 + ,2.89 + ,1.2 + ,9.4 + ,8.1 + ,2.63 + ,3.8 + ,9.4 + ,8.2 + ,2.38 + ,4 + ,9.2 + ,8.2 + ,1.69 + ,6.6 + ,9 + ,8.2 + ,1.96 + ,5.3 + ,9 + ,7.9 + ,2.19 + ,7.6 + ,9 + ,7.3 + ,1.87 + ,4.7 + ,9.8 + ,6.9 + ,1.6 + ,6.6 + ,10 + ,6.6 + ,1.63 + ,4.4 + ,9.8 + ,6.7 + ,1.22 + ,4.6 + ,9.3 + ,6.9 + ,1.21 + ,6 + ,9 + ,7 + ,1.49 + ,4.8 + ,9 + ,7.1 + ,1.64 + ,4 + ,9.1 + ,7.2 + ,1.66 + ,2.7 + ,9.1 + ,7.1 + ,1.77 + ,3 + ,9.1 + ,6.9 + ,1.82 + ,4.1 + ,9.2 + ,7 + ,1.78 + ,4 + ,8.8 + ,6.8 + ,1.28 + ,2.7 + ,8.3 + ,6.4 + ,1.29 + ,2.6 + ,8.4 + ,6.7 + ,1.37 + ,3.1 + ,8.1 + ,6.6 + ,1.12 + ,4.4 + ,7.7 + ,6.4 + ,1.51 + ,3 + ,7.9 + ,6.3 + ,2.24 + ,2 + ,7.9 + ,6.2 + ,2.94 + ,1.3 + ,8 + ,6.5 + ,3.09 + ,1.5 + ,7.9 + ,6.8 + ,3.46 + ,1.3 + ,7.6 + ,6.8 + ,3.64 + ,3.2 + ,7.1 + ,6.4 + ,4.39 + ,1.8 + ,6.8 + ,6.1 + ,4.15 + ,3.3 + ,6.5 + ,5.8 + ,5.21 + ,1 + ,6.9 + ,6.1 + ,5.8 + ,2.4 + ,8.2 + ,7.2 + ,5.91 + ,0.4 + ,8.7 + ,7.3 + ,5.39 + ,-0.1 + ,8.3 + ,6.9 + ,5.46 + ,1.3 + ,7.9 + ,6.1 + ,4.72 + ,-1.1 + ,7.5 + ,5.8 + ,3.14 + ,-4.4 + ,7.8 + ,6.2 + ,2.63 + ,-7.5 + ,8.3 + ,7.1 + ,2.32 + ,-12.2 + ,8.4 + ,7.7 + ,1.93 + ,-14.5 + ,8.2 + ,7.9 + ,0.62 + ,-16 + ,7.7 + ,7.7 + ,0.6 + ,-16.7 + ,7.2 + ,7.4 + ,-0.37 + ,-16.3 + ,7.3 + ,7.5 + ,-1.1 + ,-16.9) + ,dim=c(4 + ,73) + ,dimnames=list(c('WGV' + ,'WGM' + ,'Infl' + ,'EcGr') + ,1:73)) > y <- array(NA,dim=c(4,73),dimnames=list(c('WGV','WGM','Infl','EcGr'),1:73)) > 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/1idtb1257419002.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 = 5.683, p-value = 1.324e-08 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.4695014 > 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/2v4yk1257419002.tab") > > system("convert tmp/1idtb1257419002.ps tmp/1idtb1257419002.png") > > > proc.time() user system elapsed 0.490 0.470 0.814