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Type 'q()' to quit R. > x <- array(list(8 + ,11.1 + ,5560 + ,33842 + ,8.1 + ,10.9 + ,3922 + ,39120 + ,7.7 + ,10 + ,3759 + ,33702 + ,7.5 + ,9.2 + ,4138 + ,25094 + ,7.6 + ,9.2 + ,4634 + ,51442 + ,7.8 + ,9.5 + ,3996 + ,45594 + ,7.8 + ,9.6 + ,4308 + ,52518 + ,7.8 + ,9.5 + ,4143 + ,48564 + ,7.5 + ,9.1 + ,4429 + ,41745 + ,7.5 + ,8.9 + ,5219 + ,49585 + ,7.1 + ,9 + ,4929 + ,32747 + ,7.5 + ,10.1 + ,5755 + ,33379 + ,7.5 + ,10.3 + ,5592 + ,35645 + ,7.6 + ,10.2 + ,4163 + ,37034 + ,7.7 + ,9.6 + ,4962 + ,35681 + ,7.7 + ,9.2 + ,5208 + ,20972 + ,7.9 + ,9.3 + ,4755 + ,58552 + ,8.1 + ,9.4 + ,4491 + ,54955 + ,8.2 + ,9.4 + ,5732 + ,65540 + ,8.2 + ,9.2 + ,5731 + ,51570 + ,8.2 + ,9 + ,5040 + ,51145 + ,7.9 + ,9 + ,6102 + ,46641 + ,7.3 + ,9 + ,4904 + ,35704 + ,6.9 + ,9.8 + ,5369 + ,33253 + ,6.7 + ,10 + ,5578 + ,35193 + ,6.7 + ,9.8 + ,4619 + ,41668 + ,6.9 + ,9.3 + ,4731 + ,34865 + ,7 + ,9 + ,5011 + ,21210 + ,7.1 + ,9 + ,5299 + ,56126 + ,7.2 + ,9.1 + ,4146 + ,49231 + ,7.1 + ,9.1 + ,4625 + ,59723 + ,6.9 + ,9.1 + ,4736 + ,48103 + ,7 + ,9.2 + ,4219 + ,47472 + ,6.8 + ,8.8 + ,5116 + ,50497 + ,6.4 + ,8.3 + ,4205 + ,40059 + ,6.7 + ,8.4 + ,4121 + ,34149 + ,6.6 + ,8.1 + ,5103 + ,36860 + ,6.4 + ,7.7 + ,4300 + ,46356 + ,6.3 + ,7.9 + ,4578 + ,36577 + ,6.2 + ,7.9 + ,3809 + ,23872 + ,6.5 + ,8 + ,5526 + ,57276 + ,6.8 + ,7.9 + ,4247 + ,56389 + ,6.8 + ,7.6 + ,3830 + ,57657 + ,6.4 + ,7.1 + ,4394 + ,62300 + ,6.1 + ,6.8 + ,4826 + ,48929 + ,5.8 + ,6.5 + ,4409 + ,51168 + ,6.1 + ,6.9 + ,4569 + ,39636 + ,7.2 + ,8.2 + ,4106 + ,33213 + ,7.3 + ,8.7 + ,4794 + ,38127 + ,6.9 + ,8.3 + ,3914 + ,43291 + ,6.1 + ,7.9 + ,3793 + ,30600 + ,5.8 + ,7.5 + ,4405 + ,21956 + ,6.2 + ,7.8 + ,4022 + ,48033 + ,7.1 + ,8.3 + ,4100 + ,46148 + ,7.7 + ,8.4 + ,4788 + ,50736 + ,7.9 + ,8.2 + ,3163 + ,48114 + ,7.7 + ,7.7 + ,3585 + ,38390 + ,7.4 + ,7.2 + ,3903 + ,44112 + ,7.5 + ,7.3 + ,4178 + ,36287 + ,8 + ,8.1 + ,3863 + ,30333 + ,8.1 + ,8.5 + ,4187 + ,30301) + ,dim=c(4 + ,61) + ,dimnames=list(c('WM' + ,'WV' + ,'Bouwv' + ,'Inspw') + ,1:61)) > y <- array(NA,dim=c(4,61),dimnames=list(c('WM','WV','Bouwv','Inspw'),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/1e4j31257347793.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/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 = 4.5705, p-value = 4.866e-06 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.4133311 > 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/2uwg11257347793.tab") > > system("convert tmp/1e4j31257347793.ps tmp/1e4j31257347793.png") > > > proc.time() user system elapsed 0.750 0.306 1.089