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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> x <- array(list(631923
+ ,-12
+ ,-10.8
+ ,654294
+ ,-13
+ ,-12.2
+ ,671833
+ ,-16
+ ,-14.1
+ ,586840
+ ,-10
+ ,-15.2
+ ,600969
+ ,-4
+ ,-15.8
+ ,625568
+ ,-9
+ ,-15.8
+ ,558110
+ ,-8
+ ,-14.9
+ ,630577
+ ,-9
+ ,-12.6
+ ,628654
+ ,-3
+ ,-9.9
+ ,603184
+ ,-13
+ ,-7.8
+ ,656255
+ ,-3
+ ,-6
+ ,600730
+ ,-1
+ ,-5
+ ,670326
+ ,-2
+ ,-4.5
+ ,678423
+ ,0
+ ,-3.9
+ ,641502
+ ,0
+ ,-2.9
+ ,625311
+ ,-3
+ ,-1.5
+ ,628177
+ ,0
+ ,-0.5
+ ,589767
+ ,5
+ ,0
+ ,582471
+ ,3
+ ,0.5
+ ,636248
+ ,4
+ ,0.9
+ ,599885
+ ,3
+ ,0.8
+ ,621694
+ ,1
+ ,0.1
+ ,637406
+ ,-1
+ ,-1
+ ,596994
+ ,0
+ ,-2
+ ,696308
+ ,-2
+ ,-3
+ ,674201
+ ,-1
+ ,-3.7
+ ,648861
+ ,2
+ ,-4.7
+ ,649605
+ ,0
+ ,-6.4
+ ,672392
+ ,-6
+ ,-7.5
+ ,598396
+ ,-7
+ ,-7.8
+ ,613177
+ ,-6
+ ,-7.7
+ ,638104
+ ,-4
+ ,-6.6
+ ,615632
+ ,-9
+ ,-4.2
+ ,634465
+ ,-2
+ ,-2
+ ,638686
+ ,-3
+ ,-0.7
+ ,604243
+ ,2
+ ,0.1
+ ,706669
+ ,3
+ ,0.9
+ ,677185
+ ,1
+ ,2.1
+ ,644328
+ ,0
+ ,3.5
+ ,644825
+ ,1
+ ,4.9
+ ,605707
+ ,1
+ ,5.7
+ ,600136
+ ,3
+ ,6.2
+ ,612166
+ ,5
+ ,6.5
+ ,599659
+ ,5
+ ,6.5
+ ,634210
+ ,4
+ ,6.3
+ ,618234
+ ,11
+ ,6.2
+ ,613576
+ ,8
+ ,6.4
+ ,627200
+ ,-1
+ ,6.3
+ ,668973
+ ,4
+ ,5.8
+ ,651479
+ ,4
+ ,5.1
+ ,619661
+ ,4
+ ,5.1
+ ,644260
+ ,6
+ ,5.8
+ ,579936
+ ,6
+ ,6.7
+ ,601752
+ ,6
+ ,7.1
+ ,595376
+ ,6
+ ,6.7
+ ,588902
+ ,4
+ ,5.5
+ ,634341
+ ,1
+ ,4.2
+ ,594305
+ ,6
+ ,3
+ ,606200
+ ,0
+ ,2.2
+ ,610926
+ ,2
+ ,2
+ ,633685
+ ,-2
+ ,1.8
+ ,639696
+ ,0
+ ,1.8
+ ,659451
+ ,1
+ ,1.5
+ ,593248
+ ,-3
+ ,0.4
+ ,606677
+ ,-3
+ ,-0.9
+ ,599434
+ ,-5
+ ,-1.7
+ ,569578
+ ,-7
+ ,-2.6
+ ,629873
+ ,-7
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+ ,613438
+ ,-5
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+ ,604172
+ ,-13
+ ,-14.4
+ ,658328
+ ,-16
+ ,-21.3
+ ,612633
+ ,-20
+ ,-26.5
+ ,707372
+ ,-18
+ ,-29.2
+ ,739770
+ ,-21
+ ,-30.8
+ ,777535
+ ,-20
+ ,-30.9
+ ,685030
+ ,-16
+ ,-29.5
+ ,730234
+ ,-14
+ ,-27.1
+ ,714154
+ ,-12
+ ,-24.4
+ ,630872
+ ,-10
+ ,-21.9
+ ,719492
+ ,-3
+ ,-19.3
+ ,677023
+ ,-4
+ ,-17
+ ,679272
+ ,-4
+ ,-13.8
+ ,718317
+ ,-1
+ ,-9.9
+ ,645672
+ ,-8
+ ,-7.9)
+ ,dim=c(3
+ ,84)
+ ,dimnames=list(c('Werkloosheid'
+ ,'Consumentenvertrouwen'
+ ,'Ondernemersvertrouwen')
+ ,1:84))
>  y <- array(NA,dim=c(3,84),dimnames=list(c('Werkloosheid','Consumentenvertrouwen','Ondernemersvertrouwen'),1:84))
>  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/1tija1292963372.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] 3
> 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/2w0hx1292963372.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 = -3.7422, df = 82, p-value = 0.0003372
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.5511902 -0.1824751 
sample estimates:
       cor 
-0.3819285 

> 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
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3asxo1292963372.tab") 
> 
> try(system("convert tmp/1tija1292963372.ps tmp/1tija1292963372.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.469   0.201   1.213