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Type 'q()' to quit R. > x <- array(list(8 + ,11.1 + ,30084 + ,69698 + ,8.1 + ,10.9 + ,26290 + ,60886 + ,7.7 + ,10 + ,24379 + ,67267 + ,7.5 + ,9.2 + ,23335 + ,81723 + ,7.6 + ,9.2 + ,21346 + ,66938 + ,7.8 + ,9.5 + ,21106 + ,117673 + ,7.8 + ,9.6 + ,24514 + ,117873 + ,7.8 + ,9.5 + ,30805 + ,104619 + ,7.5 + ,9.1 + ,28353 + ,105074 + ,7.5 + ,8.9 + ,31348 + ,105856 + ,7.1 + ,9 + ,34556 + ,64918 + ,7.5 + ,10.1 + ,33855 + ,59006 + ,7.5 + ,10.3 + ,34787 + ,74269 + ,7.6 + ,10.2 + ,32529 + ,65562 + ,7.7 + ,9.6 + ,29998 + ,66752 + ,7.7 + ,9.2 + ,29257 + ,80732 + ,7.9 + ,9.3 + ,28155 + ,68229 + ,8.1 + ,9.4 + ,30466 + ,116882 + ,8.2 + ,9.4 + ,35704 + ,116855 + ,8.2 + ,9.2 + ,39327 + ,96773 + ,8.2 + ,9 + ,39351 + ,104083 + ,7.9 + ,9 + ,42234 + ,61344 + ,7.3 + ,9 + ,43630 + ,59094 + ,6.9 + ,9.8 + ,43722 + ,50330 + ,6.6 + ,10 + ,43121 + ,48842 + ,6.7 + ,9.8 + ,37985 + ,73817 + ,6.9 + ,9.3 + ,37135 + ,56173 + ,7 + ,9 + ,34646 + ,68407 + ,7.1 + ,9 + ,33026 + ,83658 + ,7.2 + ,9.1 + ,35087 + ,102355 + ,7.1 + ,9.1 + ,38846 + ,102600 + ,6.9 + ,9.1 + ,42013 + ,86598 + ,7 + ,9.2 + ,43908 + ,92442 + ,6.8 + ,8.8 + ,42868 + ,52663 + ,6.4 + ,8.3 + ,44423 + ,64042 + ,6.7 + ,8.4 + ,44167 + ,51768 + ,6.6 + ,8.1 + ,43636 + ,53708 + ,6.4 + ,7.7 + ,44382 + ,77648 + ,6.3 + ,7.9 + ,42142 + ,60830 + ,6.2 + ,7.9 + ,43452 + ,73504 + ,6.5 + ,8 + ,36912 + ,81314 + ,6.8 + ,7.9 + ,42413 + ,92861 + ,6.8 + ,7.6 + ,45344 + ,99861 + ,6.4 + ,7.1 + ,44873 + ,113777 + ,6.1 + ,6.8 + ,47510 + ,77159 + ,5.8 + ,6.5 + ,49554 + ,76573 + ,6.1 + ,6.9 + ,47369 + ,70059 + ,7.2 + ,8.2 + ,45998 + ,56245 + ,7.3 + ,8.7 + ,48140 + ,78970 + ,6.9 + ,8.3 + ,48441 + ,76239 + ,6.1 + ,7.9 + ,44928 + ,76244 + ,5.8 + ,7.5 + ,40454 + ,115187 + ,6.2 + ,7.8 + ,38661 + ,99296 + ,7.1 + ,8.3 + ,37246 + ,156275 + ,7.7 + ,8.4 + ,36843 + ,193294 + ,7.9 + ,8.2 + ,36424 + ,210544 + ,7.7 + ,7.7 + ,37594 + ,146442 + ,7.4 + ,7.2 + ,38144 + ,169727 + ,7.5 + ,7.3 + ,38737 + ,143482 + ,8 + ,8.1 + ,34560 + ,82977) + ,dim=c(4 + ,60) + ,dimnames=list(c('WklMan' + ,'WklVrouw' + ,'Ovac' + ,'Tijdwkl') + ,1:60)) > y <- array(NA,dim=c(4,60),dimnames=list(c('WklMan','WklVrouw','Ovac','Tijdwkl'),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/html/rcomp/tmp/1w5h71257257853.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/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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 = 4.6783, p-value = 2.892e-06 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.4268654 > 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/html/rcomp/tmp/2efu51257257853.tab") > > system("convert tmp/1w5h71257257853.ps tmp/1w5h71257257853.png") > > > proc.time() user system elapsed 0.505 0.221 0.828