R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(1.0800
+ ,1.0100
+ ,1.6100
+ ,1.7700
+ ,1.3900
+ ,1.7700
+ ,1.0900
+ ,1.0000
+ ,1.5800
+ ,1.7700
+ ,1.3500
+ ,1.9800
+ ,1.1000
+ ,1.0000
+ ,1.6900
+ ,1.7700
+ ,1.3900
+ ,1.9400
+ ,1.1000
+ ,1.0000
+ ,1.7800
+ ,1.7700
+ ,1.3700
+ ,1.8500
+ ,1.1100
+ ,1.0600
+ ,1.7600
+ ,1.7400
+ ,1.3800
+ ,1.8400
+ ,1.1000
+ ,1.2200
+ ,1.8300
+ ,1.7800
+ ,1.5100
+ ,1.8200
+ ,1.1000
+ ,1.2400
+ ,1.8000
+ ,1.7800
+ ,1.5100
+ ,1.8300
+ ,1.1100
+ ,1.3400
+ ,1.5700
+ ,1.7800
+ ,1.4500
+ ,1.9100
+ ,1.1100
+ ,1.3000
+ ,1.4500
+ ,1.7800
+ ,1.3000
+ ,1.8500
+ ,1.1100
+ ,1.0500
+ ,1.4000
+ ,1.8100
+ ,1.2900
+ ,1.8100
+ ,1.1100
+ ,1.0000
+ ,1.5500
+ ,1.8400
+ ,1.4400
+ ,1.8300
+ ,1.1100
+ ,1.0000
+ ,1.5800
+ ,1.8000
+ ,1.4600
+ ,1.7900
+ ,1.1200
+ ,1.0100
+ ,1.5800
+ ,1.7800
+ ,1.5000
+ ,1.8000
+ ,1.1100
+ ,1.0200
+ ,1.5900
+ ,1.7600
+ ,1.3900
+ ,1.8200
+ ,1.1100
+ ,1.0600
+ ,1.8000
+ ,1.7400
+ ,1.4800
+ ,1.8800
+ ,1.1200
+ ,1.0900
+ ,1.9900
+ ,1.7200
+ ,1.5200
+ ,2.0100
+ ,1.1200
+ ,1.0900
+ ,2.0600
+ ,1.7300
+ ,1.6800
+ ,1.9700
+ ,1.1100
+ ,1.1500
+ ,2.0600
+ ,1.7700
+ ,1.7400
+ ,1.9200
+ ,1.1200
+ ,1.2500
+ ,2.0800
+ ,1.8100
+ ,1.7200
+ ,1.9800
+ ,1.1100
+ ,1.3700
+ ,2.0000
+ ,1.8300
+ ,1.7400
+ ,2.0200
+ ,1.1100
+ ,1.5100
+ ,1.8500
+ ,1.8700
+ ,1.8300
+ ,1.9000
+ ,1.1000
+ ,1.3500
+ ,1.7700
+ ,1.8900
+ ,1.9900
+ ,1.9400
+ ,1.1000
+ ,1.3200
+ ,1.7000
+ ,1.8200
+ ,1.8500
+ ,1.9600
+ ,1.1000
+ ,1.3000
+ ,1.6600
+ ,1.7900
+ ,1.6800
+ ,1.8400
+ ,1.1100
+ ,1.3900
+ ,1.6700
+ ,1.7900
+ ,1.6200
+ ,1.8700
+ ,1.1000
+ ,1.4000
+ ,1.7300
+ ,1.8200
+ ,1.6200
+ ,1.8400
+ ,1.1000
+ ,1.3900
+ ,1.9100
+ ,1.8200
+ ,1.6400
+ ,2.0700
+ ,1.0900
+ ,1.4200
+ ,2.0200
+ ,1.8100
+ ,1.5900
+ ,2.0800
+ ,1.1000
+ ,1.4400
+ ,2.0700
+ ,1.8100
+ ,1.6300
+ ,2.1400
+ ,1.1000
+ ,1.4400
+ ,2.1500
+ ,1.7800
+ ,1.6800
+ ,2.1500
+ ,1.1100
+ ,1.4500
+ ,2.1000
+ ,1.8000
+ ,1.5900
+ ,2.0500
+ ,1.1300
+ ,1.3900
+ ,1.6800
+ ,1.7900
+ ,1.5400
+ ,2.0500
+ ,1.1300
+ ,1.4800
+ ,1.6800
+ ,1.8300
+ ,1.5100
+ ,1.9500
+ ,1.1300
+ ,1.3200
+ ,1.6500
+ ,1.8200
+ ,1.5000
+ ,2.0200
+ ,1.1300
+ ,1.2900
+ ,1.7200
+ ,1.8000
+ ,1.7100
+ ,2.0200
+ ,1.1400
+ ,1.3100
+ ,1.7300
+ ,1.8200
+ ,1.6000
+ ,1.8800
+ ,1.1400
+ ,1.2700
+ ,1.7600
+ ,1.8400
+ ,1.5500
+ ,1.9600
+ ,1.1400
+ ,1.3800
+ ,1.8400
+ ,1.8200
+ ,1.6300
+ ,1.9300
+ ,1.1500
+ ,1.3800
+ ,1.9900
+ ,1.8100
+ ,1.6400
+ ,2.0300
+ ,1.1500
+ ,1.4500
+ ,2.0500
+ ,1.7900
+ ,1.6800
+ ,2.1000
+ ,1.1500
+ ,1.5000
+ ,2.1200
+ ,1.8700
+ ,1.7200
+ ,1.9500
+ ,1.1500
+ ,1.6300
+ ,2.1300
+ ,1.8900
+ ,1.7600
+ ,2.0700
+ ,1.1500
+ ,1.7300
+ ,2.0800
+ ,1.9200
+ ,1.8400
+ ,2.0900
+ ,1.1500
+ ,1.8400
+ ,1.8800
+ ,1.9000
+ ,1.8900
+ ,2.0100
+ ,1.1400
+ ,1.7500
+ ,1.8100
+ ,1.9100
+ ,1.8600
+ ,1.9200
+ ,1.1400
+ ,1.3400
+ ,1.8100
+ ,1.9500
+ ,1.8100
+ ,1.9900
+ ,1.1400
+ ,1.3600
+ ,1.8800
+ ,2.0400
+ ,1.8300
+ ,2.1100
+ ,1.1300
+ ,1.3300
+ ,1.8700
+ ,1.9900
+ ,1.7200
+ ,2.0000
+ ,1.1200
+ ,1.3700
+ ,1.8700
+ ,1.9400
+ ,1.5900
+ ,2.0900
+ ,1.1300
+ ,1.3900
+ ,1.9000
+ ,1.9300
+ ,1.6600
+ ,2.0400
+ ,1.1300
+ ,1.4000
+ ,2.0100
+ ,1.8900
+ ,1.5900
+ ,2.0900
+ ,1.1300
+ ,1.4000
+ ,2.0500
+ ,1.8700
+ ,1.6000
+ ,2.0900
+ ,1.1200
+ ,1.4300
+ ,2.1600
+ ,1.8900
+ ,1.5600
+ ,2.1300
+ ,1.1300
+ ,1.5200
+ ,2.1800
+ ,1.9000
+ ,1.6000
+ ,2.1300
+ ,1.1200
+ ,1.5400
+ ,2.1500
+ ,1.9300
+ ,1.6200
+ ,2.1700
+ ,1.1200
+ ,1.8500
+ ,2.1200
+ ,1.9400
+ ,1.6000
+ ,2.1300
+ ,1.1100
+ ,1.8300
+ ,2.0400
+ ,1.8800
+ ,1.6000
+ ,2.0000
+ ,1.1100
+ ,1.2900
+ ,2.0400
+ ,1.8900
+ ,1.6800
+ ,2.0500
+ ,1.1100
+ ,1.2000
+ ,2.0600
+ ,1.9200
+ ,1.7700
+ ,2.0800
+ ,1.1100
+ ,1.2000
+ ,1.9300
+ ,1.9100
+ ,1.7500
+ ,2.0700
+ ,1.1400
+ ,1.2100
+ ,1.8600
+ ,1.8900
+ ,1.7600
+ ,2.1200
+ ,1.1500
+ ,1.2100
+ ,1.9400
+ ,1.8900
+ ,1.8900
+ ,2.1300
+ ,1.1500
+ ,1.1900
+ ,2.3500
+ ,1.9800
+ ,1.8800
+ ,2.1600
+ ,1.1600
+ ,1.1800
+ ,2.4600
+ ,2.0200
+ ,1.9000
+ ,2.2500
+ ,1.1500
+ ,1.1700
+ ,2.5900
+ ,2.0200
+ ,1.9100
+ ,2.2600
+ ,1.1600
+ ,1.2200
+ ,2.6600
+ ,1.9900
+ ,1.9100
+ ,2.3900
+ ,1.1300
+ ,1.2500
+ ,2.4100
+ ,1.9700
+ ,1.8400
+ ,2.3600
+ ,1.1300
+ ,1.3000
+ ,2.1800
+ ,1.9600
+ ,1.6900
+ ,2.2600
+ ,1.1200
+ ,1.3300
+ ,2.1300
+ ,1.9500
+ ,1.6100
+ ,2.2600
+ ,1.1200
+ ,1.1800
+ ,2.1100
+ ,1.9800
+ ,1.6700
+ ,2.2700
+ ,1.1100
+ ,1.1800
+ ,2.1200
+ ,2.0000
+ ,1.8400
+ ,2.2900
+ ,1.1100
+ ,1.1900
+ ,2.1600
+ ,2.0000
+ ,1.8400
+ ,2.2100)
+ ,dim=c(6
+ ,72)
+ ,dimnames=list(c('Vruchtesappen'
+ ,'Jonagold'
+ ,'Sinaasappelen'
+ ,'Citroenen'
+ ,'Pompelmoezen'
+ ,'Bananen')
+ ,1:72))
>  y <- array(NA,dim=c(6,72),dimnames=list(c('Vruchtesappen','Jonagold','Sinaasappelen','Citroenen','Pompelmoezen','Bananen'),1:72))
>  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: Patrick Wessa
> #To cite this work: Patrick Wessa, (2010), Multivariate Correlation Matrix (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp#output/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/www/html/rcomp/tmp/15fq91292337908.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")
> 
> 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/www/html/rcomp/tmp/2qyox1292337908.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 = 2.1569, p-value = 0.03101
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.1865897 

> 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/www/html/rcomp/tmp/348m51292337908.tab") 
> 
> try(system("convert tmp/15fq91292337908.ps tmp/15fq91292337908.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.769   0.294   1.664