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Type 'q()' to quit R. > x <- array(list(102.0 + ,70.5 + ,108.0 + ,100.0 + ,104.7 + ,77.7 + ,108.0 + ,100.2 + ,86.0 + ,56.0 + ,108.0 + ,113.7 + ,92.1 + ,56.8 + ,108.0 + ,115.5 + ,106.9 + ,69.2 + ,108.0 + ,115.0 + ,112.6 + ,71.3 + ,108.0 + ,114.0 + ,101.7 + ,79.4 + ,108.0 + ,112.0 + ,92.0 + ,80.8 + ,108.0 + ,112.6 + ,97.4 + ,72.2 + ,108.0 + ,114.2 + ,97.0 + ,69.8 + ,108.0 + ,113.7 + ,105.4 + ,73.0 + ,108.0 + ,112.1 + ,102.7 + ,82.0 + ,108.0 + ,112.0 + ,98.1 + ,76.3 + ,108.0 + ,110.1 + ,104.5 + ,65.3 + ,108.0 + ,111.5 + ,87.4 + ,51.4 + ,108.0 + ,125.2 + ,89.9 + ,60.5 + ,108.0 + ,127.5 + ,109.8 + ,83.0 + ,108.0 + ,127.1 + ,111.7 + ,89.8 + ,108.0 + ,124.4 + ,98.6 + ,78.6 + ,108.0 + ,120.4 + ,96.9 + ,85.8 + ,108.2 + ,122.0 + ,95.1 + ,69.7 + ,112.3 + ,123.7 + ,97.0 + ,69.4 + ,111.3 + ,123.3 + ,112.7 + ,76.6 + ,111.3 + ,122.1 + ,102.9 + ,76.4 + ,115.3 + ,119.5 + ,97.4 + ,77.1 + ,117.2 + ,118.0 + ,111.4 + ,79.0 + ,118.3 + ,119.4 + ,87.4 + ,67.5 + ,118.3 + ,130.5 + ,96.8 + ,60.0 + ,118.3 + ,134.3 + ,114.1 + ,71.7 + ,119.0 + ,134.7 + ,110.3 + ,79.3 + ,120.6 + ,134.4 + ,103.9 + ,66.0 + ,122.6 + ,130.7 + ,101.6 + ,78.1 + ,122.6 + ,130.9 + ,94.6 + ,57.1 + ,127.4 + ,129.9 + ,95.9 + ,49.6 + ,125.9 + ,129.6 + ,104.7 + ,64.0 + ,121.5 + ,128.5 + ,102.8 + ,57.8 + ,118.8 + ,126.0 + ,98.1 + ,61.6 + ,121.6 + ,124.8 + ,113.9 + ,82.4 + ,122.3 + ,125.1 + ,80.9 + ,61.8 + ,122.7 + ,136.5 + ,95.7 + ,62.1 + ,120.8 + ,138.3 + ,113.2 + ,79.5 + ,120.1 + ,138.2 + ,105.9 + ,65.4 + ,120.1 + ,134.6 + ,108.8 + ,72.5 + ,120.1 + ,130.9 + ,102.3 + ,84.6 + ,120.1 + ,131.3 + ,99.0 + ,62.5 + ,128.4 + ,130.5 + ,100.7 + ,65.1 + ,129.8 + ,129.8 + ,115.5 + ,79.0 + ,129.8 + ,127.5 + ,100.7 + ,65.9 + ,128.6 + ,126.3 + ,109.9 + ,66.1 + ,128.6 + ,126.0 + ,114.6 + ,83.3 + ,133.7 + ,126.0 + ,85.4 + ,40.6 + ,130.0 + ,136.3 + ,100.5 + ,58.6 + ,125.9 + ,137.6 + ,114.8 + ,67.3 + ,129.4 + ,136.3 + ,116.5 + ,68.2 + ,129.4 + ,129.2 + ,112.9 + ,59.5 + ,130.6 + ,124.4 + ,102.0 + ,65.7 + ,130.6 + ,122.6 + ,106.0 + ,53.4 + ,130.6 + ,123.3 + ,105.3 + ,39.5 + ,130.8 + ,120.7 + ,118.8 + ,51.7 + ,129.7 + ,116.9 + ,106.1 + ,42.3 + ,125.8 + ,115.7 + ,109.3 + ,45.9 + ,126.0 + ,112.4 + ,117.2 + ,54.7 + ,125.6 + ,109.7 + ,92.5 + ,41.8 + ,125.4 + ,122.1 + ,104.2 + ,48.6 + ,124.7 + ,124.2 + ,112.5 + ,57.1 + ,126.9 + ,119.1 + ,122.4 + ,76.5 + ,128.1 + ,115.9 + ,113.3 + ,62.7 + ,131.4 + ,112.1 + ,100.0 + ,53.9 + ,134.8 + ,113.1 + ,110.7 + ,53.5 + ,141.8 + ,113.7 + ,112.8 + ,47.5 + ,148.1 + ,111.6 + ,109.8 + ,49.3 + ,149.8 + ,108.3 + ,117.3 + ,59.9 + ,149.8 + ,107.8 + ,109.1 + ,49.9 + ,147.3 + ,103.2 + ,115.9 + ,54.5 + ,150.9 + ,105.0 + ,96.0 + ,54.2 + ,153.0 + ,116.2 + ,99.8 + ,46.7 + ,152.7 + ,117.3 + ,116.8 + ,61.2 + ,152.7 + ,113.9 + ,115.7 + ,51.8 + ,152.7 + ,111.3 + ,99.4 + ,37.4 + ,152.7 + ,110.4 + ,94.3 + ,41.1 + ,153.2 + ,113.5 + ,91.0 + ,30.0 + ,145.1 + ,116.2 + ,93.2 + ,34.8 + ,134.0 + ,117.1 + ,103.1 + ,45.9 + ,127.2 + ,117.9 + ,94.1 + ,45.1 + ,123.0 + ,118.0 + ,91.8 + ,42.6 + ,124.5 + ,115.1 + ,102.7 + ,49.0 + ,123.7 + ,117.9 + ,82.6 + ,29.6 + ,123.8 + ,129.0 + ,89.1 + ,46.0 + ,123.6 + ,131.2) + ,dim=c(4 + ,88) + ,dimnames=list(c('Itot' + ,'Iaudio' + ,'Price' + ,'Iwerk') + ,1:88)) > y <- array(NA,dim=c(4,88),dimnames=list(c('Itot','Iaudio','Price','Iwerk'),1:88)) > 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/1xt6i1257775551.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 = 2.7321, p-value = 0.006293 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.1983255 > 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/2lrb91257775551.tab") > > system("convert tmp/1xt6i1257775551.ps tmp/1xt6i1257775551.png") > > > proc.time() user system elapsed 0.543 0.222 0.621