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Type 'q()' to quit R. > x <- array(list(528.00 + ,4.256 + ,65.1 + ,478.00 + ,5.008 + ,72.5 + ,469.00 + ,4.181 + ,70.6 + ,490.00 + ,4.666 + ,81.9 + ,493.00 + ,4.476 + ,72 + ,508.00 + ,4.912 + ,70.9 + ,517.00 + ,4.340 + ,71.1 + ,514.00 + ,3.830 + ,65.1 + ,510.00 + ,4.285 + ,78.1 + ,527.00 + ,5.537 + ,92 + ,542.00 + ,3.813 + ,77.8 + ,565.00 + ,4.610 + ,63.3 + ,555.00 + ,4.207 + ,56.2 + ,499.00 + ,5.099 + ,79.2 + ,511.00 + ,4.112 + ,69 + ,526.00 + ,4.199 + ,66.1 + ,532.00 + ,5.110 + ,77.5 + ,549.00 + ,4.218 + ,69.3 + ,561.00 + ,4.736 + ,70.2 + ,557.00 + ,4.624 + ,70.2 + ,566.00 + ,4.145 + ,78.2 + ,588.00 + ,5.299 + ,85.4 + ,620.00 + ,5.011 + ,82.4 + ,626.00 + ,4.730 + ,61.2 + ,620.00 + ,4.619 + ,52.2 + ,573.00 + ,5.578 + ,85.3 + ,573.00 + ,5.369 + ,79.9 + ,574.00 + ,4.902 + ,72.2 + ,580.00 + ,6.102 + ,85.7 + ,590.00 + ,5.024 + ,75.5 + ,593.00 + ,5.731 + ,69.2 + ,597.00 + ,5.732 + ,77.6 + ,595.00 + ,4.491 + ,85.3 + ,612.00 + ,4.755 + ,77 + ,628.00 + ,5.208 + ,89.9 + ,629.00 + ,4.962 + ,60 + ,621.00 + ,4.163 + ,54.3 + ,569.00 + ,5.592 + ,84 + ,567.00 + ,5.754 + ,69.9 + ,573.00 + ,4.929 + ,75.1 + ,584.00 + ,5.219 + ,81.7 + ,589.00 + ,4.429 + ,69.9 + ,591.00 + ,4.143 + ,68.3 + ,595.00 + ,4.308 + ,77.3 + ,594.00 + ,3.996 + ,77.4 + ,611.00 + ,4.634 + ,85.3 + ,613.00 + ,4.138 + ,91 + ,611.00 + ,3.759 + ,60.6 + ,594.00 + ,3.922 + ,57.6 + ,543.00 + ,5.560 + ,93.8 + ,537.00 + ,4.004 + ,78.7 + ,544.00 + ,3.937 + ,80.3 + ,555.00 + ,5.250 + ,89.8 + ,561.00 + ,3.908 + ,77.5 + ,562.00 + ,4.814 + ,71.7 + ,555.00 + ,4.407 + ,83.2 + ,547.00 + ,3.243 + ,86.2 + ,565.00 + ,3.740 + ,100.7 + ,578.00 + ,3.949 + ,100.8 + ,580.00 + ,3.711 + ,57.1 + ,569.00 + ,3.796 + ,62.5 + ,507.00 + ,4.145 + ,79.7 + ,501.00 + ,3.499 + ,80.3 + ,509.00 + ,4.164 + ,92.4 + ,510.00 + ,3.902 + ,91.8 + ,517.00 + ,3.186 + ,85.8 + ,519.00 + ,3.353 + ,84.2 + ,512.00 + ,3.475 + ,93.1 + ,509.00 + ,3.032 + ,101.2) + ,dim=c(3 + ,69) + ,dimnames=list(c('W' + ,'VPW' + ,'PDC') + ,1:69)) > y <- array(NA,dim=c(3,69),dimnames=list(c('W','VPW','PDC'),1:69)) > 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/1uobo1230034954.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] 3 > cor.test(y[1,],y[2,],method='kendall') Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 2.1552, p-value = 0.03114 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.1780070 > 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/20l191230034954.tab") > > system("convert tmp/1uobo1230034954.ps tmp/1uobo1230034954.png") > > > proc.time() user system elapsed 1.307 0.350 1.363