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Type 'q()' to quit R. > x <- array(list(613 + ,59 + ,11.3 + ,9.3 + ,611 + ,59 + ,13.6 + ,8.7 + ,594 + ,67 + ,16.7 + ,8.2 + ,595 + ,71 + ,14.2 + ,8.3 + ,591 + ,72 + ,21.3 + ,8.5 + ,589 + ,73 + ,13.8 + ,8.6 + ,584 + ,73 + ,9 + ,8.5 + ,573 + ,75 + ,1.9 + ,8.2 + ,567 + ,70 + ,4.6 + ,8.1 + ,569 + ,67 + ,15.1 + ,7.9 + ,621 + ,59 + ,22.7 + ,8.6 + ,629 + ,43 + ,25.5 + ,8.7 + ,628 + ,23 + ,19.9 + ,8.7 + ,612 + ,23 + ,14.9 + ,8.5 + ,595 + ,19 + ,12 + ,8.4 + ,597 + ,11 + ,6.8 + ,8.5 + ,593 + ,13 + ,16.5 + ,8.7 + ,590 + ,8 + ,23.4 + ,8.7 + ,580 + ,0 + ,32.7 + ,8.6 + ,574 + ,2 + ,31.3 + ,8.5 + ,573 + ,7 + ,32.4 + ,8.3 + ,573 + ,5 + ,21.2 + ,8 + ,620 + ,9 + ,20.7 + ,8.2 + ,626 + ,6 + ,11.8 + ,8.1 + ,620 + ,10 + ,14.2 + ,8.1 + ,588 + ,11 + ,16.1 + ,8 + ,566 + ,16 + ,16.6 + ,7.9 + ,557 + ,14 + ,16.5 + ,7.9 + ,561 + ,14 + ,13.7 + ,8 + ,549 + ,9 + ,11.9 + ,8 + ,532 + ,17 + ,11 + ,7.9 + ,526 + ,16 + ,10.1 + ,8 + ,511 + ,21 + ,11.3 + ,7.7 + ,499 + ,41 + ,17.9 + ,7.2 + ,555 + ,14 + ,23 + ,7.5 + ,565 + ,13 + ,28.6 + ,7.3 + ,542 + ,19 + ,29.9 + ,7 + ,527 + ,18 + ,32 + ,7 + ,510 + ,27 + ,33.9 + ,7 + ,514 + ,26 + ,39.1 + ,7.2 + ,517 + ,30 + ,29.8 + ,7.3 + ,508 + ,27 + ,30 + ,7.1 + ,493 + ,33 + ,22.8 + ,6.8 + ,490 + ,26 + ,29.8 + ,6.4 + ,469 + ,26 + ,26.6 + ,6.1 + ,478 + ,35 + ,29.2 + ,6.5 + ,528 + ,39 + ,21.2 + ,7.7 + ,534 + ,37 + ,18.9 + ,7.9 + ,518 + ,39 + ,17.3 + ,7.5 + ,506 + ,40 + ,14.2 + ,6.9 + ,502 + ,44 + ,9.1 + ,6.6 + ,516 + ,45 + ,5.5 + ,6.9 + ,528 + ,46 + ,0.9 + ,7.7 + ,533 + ,34 + ,1 + ,8 + ,536 + ,34 + ,3.3 + ,8 + ,537 + ,39 + ,3.8 + ,7.7 + ,524 + ,40 + ,3.9 + ,7.3 + ,536 + ,41 + ,1.1 + ,7.4 + ,587 + ,40 + ,4.5 + ,8.1 + ,597 + ,41 + ,9.6 + ,8.3 + ,581 + ,32 + ,14.8 + ,8.2) + ,dim=c(4 + ,61) + ,dimnames=list(c('WklBe' + ,'CstVert' + ,'VrkPw' + ,'Wrkzk ') + ,1:61)) > y <- array(NA,dim=c(4,61),dimnames=list(c('WklBe','CstVert','VrkPw','Wrkzk '),1:61)) > 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/freestat/rcomp/tmp/1mxc01257955101.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) 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/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/freestat/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 = -0.7473, p-value = 0.4549 alternative hypothesis: true tau is not equal to 0 sample estimates: tau -0.06622617 > 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/freestat/rcomp/tmp/294vq1257955101.tab") > > system("convert tmp/1mxc01257955101.ps tmp/1mxc01257955101.png") > > > proc.time() user system elapsed 0.720 0.307 0.799