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

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(112.3
+ ,112.9
+ ,88.7
+ ,105.1
+ ,117.3
+ ,130.5
+ ,94.6
+ ,114.9
+ ,111.1
+ ,137.9
+ ,98.7
+ ,106.4
+ ,102.2
+ ,115
+ ,84.2
+ ,104.5
+ ,104.3
+ ,116.8
+ ,87.7
+ ,121.6
+ ,122.9
+ ,140.9
+ ,103.3
+ ,141.4
+ ,107.6
+ ,120.7
+ ,88.2
+ ,99
+ ,121.3
+ ,134.2
+ ,93.4
+ ,126.7
+ ,131.5
+ ,147.3
+ ,106.3
+ ,134.1
+ ,89
+ ,112.4
+ ,73.1
+ ,81.3
+ ,104.4
+ ,107.1
+ ,78.6
+ ,88.6
+ ,128.9
+ ,128.4
+ ,101.6
+ ,132.7
+ ,135.9
+ ,137.7
+ ,101.4
+ ,132.9
+ ,133.3
+ ,135
+ ,98.5
+ ,134.4
+ ,121.3
+ ,151
+ ,99
+ ,103.7
+ ,120.5
+ ,137.4
+ ,89.5
+ ,119.7
+ ,120.4
+ ,132.4
+ ,83.5
+ ,115
+ ,137.9
+ ,161.3
+ ,97.4
+ ,132.9
+ ,126.1
+ ,139.8
+ ,87.8
+ ,108.5
+ ,133.2
+ ,146
+ ,90.4
+ ,113.9
+ ,151.1
+ ,166.5
+ ,101.6
+ ,142
+ ,105
+ ,143.3
+ ,80
+ ,97.7
+ ,119
+ ,121
+ ,81.7
+ ,92.2
+ ,140.4
+ ,152.6
+ ,96.4
+ ,128.8
+ ,156.6
+ ,154.4
+ ,110.2
+ ,134.9
+ ,137.1
+ ,154.6
+ ,101.1
+ ,128.2
+ ,122.7
+ ,158
+ ,89.3
+ ,114.8
+ ,125.8
+ ,142.6
+ ,90
+ ,117.9
+ ,139.3
+ ,153.4
+ ,95.4
+ ,119.1
+ ,134.9
+ ,163.4
+ ,100.3
+ ,120.7
+ ,149.2
+ ,167.3
+ ,99.5
+ ,129.1
+ ,132.3
+ ,154.8
+ ,93.9
+ ,117.6
+ ,149
+ ,165.7
+ ,100.6
+ ,129.2
+ ,117.2
+ ,144.7
+ ,84.7
+ ,100
+ ,119.6
+ ,120.9
+ ,81.6
+ ,87
+ ,152
+ ,152.8
+ ,109
+ ,128
+ ,149.4
+ ,160.2
+ ,99
+ ,127.7
+ ,127.3
+ ,128.3
+ ,81.1
+ ,93.4
+ ,114.1
+ ,150.5
+ ,81.8
+ ,84.1
+ ,102.1
+ ,117
+ ,66.5
+ ,71.7
+ ,107.7
+ ,116
+ ,66.4
+ ,83.2
+ ,104.4
+ ,133.3
+ ,86.3
+ ,89.1
+ ,102.1
+ ,116.4
+ ,73.6
+ ,79.6
+ ,96
+ ,104
+ ,71.5
+ ,62.8
+ ,109.3
+ ,126.6
+ ,87.2
+ ,95.1
+ ,90
+ ,92.9
+ ,65.3
+ ,63.6
+ ,83.9
+ ,83.6
+ ,69.7
+ ,61.4
+ ,112
+ ,112.8
+ ,95.5
+ ,98.2
+ ,114.3
+ ,113.2
+ ,86.3
+ ,95.3
+ ,103.6
+ ,118.5
+ ,81
+ ,81.5
+ ,91.7
+ ,125.5
+ ,88.7
+ ,85.5
+ ,80.8
+ ,91.3
+ ,71.9
+ ,71.1
+ ,87.2
+ ,105.4
+ ,78.6
+ ,78.1
+ ,109.2
+ ,121.3
+ ,96
+ ,103
+ ,102.7
+ ,106.9
+ ,81.1
+ ,86
+ ,95.1
+ ,109.4
+ ,77.5
+ ,86.2
+ ,117.5
+ ,132.6
+ ,97.3
+ ,105.7
+ ,85.1
+ ,96.8
+ ,78.6
+ ,57.2
+ ,92.1
+ ,100.3
+ ,79
+ ,73.7
+ ,113.5
+ ,119.2
+ ,93.4
+ ,120.5)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('X1'
+ ,'X2'
+ ,'X3'
+ ,'X4')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('X1','X2','X3','X4'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'pearson'
> 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/1dg9s1292933172.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] 4
> 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/29p601292933172.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)

	Pearson's product-moment correlation

data:  y[1, ] and y[2, ] 
t = 13.8409, df = 58, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.8002310 0.9244007 
sample estimates:
     cor 
0.876128 

> 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)
+ }
+ }
Warning messages:
1: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
2: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
3: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
4: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
5: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
6: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3cqno1292933172.tab") 
> 
> try(system("convert tmp/1dg9s1292933172.ps tmp/1dg9s1292933172.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.509   0.205   2.193