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Type 'q()' to quit R. > x <- array(list(1 + ,1 + ,1 + ,1 + ,0.941979522 + ,1 + ,1 + ,1 + ,0.85665529 + ,0.946666667 + ,0.885714286 + ,0.927272727 + ,0.85665529 + ,0.933333333 + ,0.857142857 + ,0.909090909 + ,0.846416382 + ,0.933333333 + ,0.857142857 + ,0.909090909 + ,0.764505119 + ,0.826666667 + ,0.628571429 + ,0.763636364 + ,0.723549488 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.716723549 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.726962457 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.723549488 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.730375427 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.726962457 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.726962457 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.696245734 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.689419795 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.655290102 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.692832765 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.699658703 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.723549488 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.730375427 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.726962457 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.716723549 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.71331058 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.716723549 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.71331058 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.706484642 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.709897611 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.71331058 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.720136519 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.750853242 + ,0.8 + ,0.571428571 + ,0.727272727 + ,0.825938567 + ,0.856 + ,0.691428571 + ,0.803636364 + ,0.839590444 + ,0.866666667 + ,0.714285714 + ,0.818181818 + ,0.853242321 + ,0.866666667 + ,0.714285714 + ,0.818181818 + ,0.883959044 + ,0.92 + ,0.828571429 + ,0.890909091 + ,0.938566553 + ,0.933333333 + ,0.857142857 + ,0.909090909 + ,0.948805461 + ,0.933333333 + ,0.857142857 + ,0.909090909 + ,0.989761092 + ,0.970666667 + ,0.937142857 + ,0.96 + ,1.034129693 + ,1 + ,1 + ,1 + ,1.058020478 + ,1.048 + ,1.102857143 + ,1.065454545 + ,1.102389078 + ,1.066666667 + ,1.142857143 + ,1.090909091 + ,1.146757679 + ,1.112 + ,1.24 + ,1.152727273 + ,1.197952218 + ,1.133333333 + ,1.285714286 + ,1.181818182 + ,1.232081911 + ,1.170666667 + ,1.365714286 + ,1.232727273 + ,1.252559727 + ,1.2 + ,1.428571429 + ,1.272727273 + ,1.276450512 + ,1.2 + ,1.428571429 + ,1.272727273 + ,1.303754266 + ,1.24 + ,1.514285714 + ,1.327272727 + ,1.327645051 + ,1.266666667 + ,1.571428571 + ,1.363636364 + ,1.358361775 + ,1.266666667 + ,1.571428571 + ,1.363636364 + ,1.392491468 + ,1.306666667 + ,1.657142857 + ,1.418181818 + ,1.412969283 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.4778157 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.559726962 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.580204778 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.559726962 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.607508532 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.549488055 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.467576792 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.488054608 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.57337884 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.607508532 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.597269625 + ,1.333333333 + ,1.714285714 + ,1.454545455 + ,1.675767918 + ,1.381333333 + ,1.817142857 + ,1.52 + ,1.62116041 + ,1.4 + ,1.857142857 + ,1.545454545 + ,1.627986348 + ,1.4 + ,1.857142857 + ,1.545454545 + ,1.767918089 + ,1.197333333 + ,1.845714286 + ,1.443636364 + ,1.167235495 + ,1.045333333 + ,1.668571429 + ,1.243636364 + ,0.924914676 + ,0.866666667 + ,1.285714286 + ,1) + ,dim=c(4 + ,72) + ,dimnames=list(c('rlther' + ,'rmar' + ,'rdepo' + ,'rbasisherfin') + ,1:72)) > y <- array(NA,dim=c(4,72),dimnames=list(c('rlther','rmar','rdepo','rbasisherfin'),1:72)) > 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/1kaq71258106517.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 = 10.0614, p-value < 2.2e-16 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.8720403 > 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/23mrh1258106518.tab") > > system("convert tmp/1kaq71258106517.ps tmp/1kaq71258106517.png") > > > proc.time() user system elapsed 0.506 0.208 0.593