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,168994 + ,192 + ,58 + ,21166 + ,154451 + ,119 + ,253330 + ,132 + ,87 + ,34672 + ,156349 + ,185 + ,305217 + ,168 + ,109 + ,36171 + ,0 + ,0 + ,1 + ,0 + ,0 + ,0 + ,6023 + ,4 + ,14688 + ,0 + ,10 + ,2065 + ,0 + ,0 + ,98 + ,0 + ,1 + ,0 + ,0 + ,0 + ,455 + ,0 + ,2 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,84601 + ,75 + ,260345 + ,133 + ,88 + ,19354 + ,68946 + ,157 + ,409163 + ,204 + ,162 + ,22124 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,0 + ,203 + ,0 + ,4 + ,0 + ,1644 + ,7 + ,7199 + ,0 + ,5 + ,556 + ,6179 + ,12 + ,46660 + ,15 + ,20 + ,2089 + ,3926 + ,0 + ,17547 + ,4 + ,5 + ,2658 + ,52789 + ,37 + ,116969 + ,152 + ,45 + ,1813 + ,0 + ,0 + ,969 + ,0 + ,2 + ,0 + ,100350 + ,59 + ,229447 + ,125 + ,70 + ,17372) + ,dim=c(6 + ,164) + ,dimnames=list(c('#characters' + ,'bloggedcomputations' + ,'totalseconds' + ,'PeerReviews' + ,'#logins' + ,'#revisions') + ,1:164)) > y <- array(NA,dim=c(6,164),dimnames=list(c('#characters','bloggedcomputations','totalseconds','PeerReviews','#logins','#revisions'),1:164)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par1 = 'kendall' > main = 'Correlation Matrix' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > panel.tau <- function(x, y, digits=2, prefix='', cex.cor) + { + usr <- par('usr'); on.exit(par(usr)) + par(usr = c(0, 1, 0, 1)) + rr <- cor.test(x, y, method=par1) + r <- round(rr$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/wessaorg/rcomp/tmp/1cm991324377186.ps",horizontal=F,onefile=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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/wessaorg/rcomp/createtable") > > n <- length(y[,1]) > n [1] 6 > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,' ',header=TRUE) > for (i in 1:n) { + a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) + } > a<-table.row.end(a) > for (i in 1:n) { + a<-table.row.start(a) + a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) + for (j in 1:n) { + r <- cor.test(y[i,],y[j,],method=par1) + a<-table.element(a,round(r$estimate,3)) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2s87f1324377186.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'pair',1,TRUE) > a<-table.element(a,'Pearson r',1,TRUE) > a<-table.element(a,'Spearman rho',1,TRUE) > a<-table.element(a,'Kendall tau',1,TRUE) > a<-table.row.end(a) > cor.test(y[1,],y[2,],method=par1) Kendall's rank correlation tau data: y[1, ] and y[2, ] z = 9.5397, p-value < 2.2e-16 alternative hypothesis: true tau is not equal to 0 sample estimates: tau 0.5043448 > for (i in 1:(n-1)) + { + for (j in (i+1):n) + { + a<-table.row.start(a) + dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') + a<-table.element(a,dum,header=TRUE) + rp <- cor.test(y[i,],y[j,],method='pearson') + a<-table.element(a,round(rp$estimate,4)) + rs <- cor.test(y[i,],y[j,],method='spearman') + a<-table.element(a,round(rs$estimate,4)) + rk <- cor.test(y[i,],y[j,],method='kendall') + a<-table.element(a,round(rk$estimate,4)) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,'p-value',header=T) + a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) + a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) + a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) + a<-table.row.end(a) + } + } There were 15 warnings (use warnings() to see them) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/3ycu41324377186.tab") > > try(system("convert tmp/1cm991324377186.ps tmp/1cm991324377186.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.405 0.148 1.547