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.
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Type 'contributors()' for more information and
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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(101.76
+ ,101.82
+ ,107.34
+ ,93.63
+ ,99.85
+ ,102.37
+ ,101.68
+ ,107.34
+ ,93.63
+ ,99.91
+ ,102.38
+ ,101.68
+ ,107.34
+ ,93.63
+ ,99.87
+ ,102.86
+ ,102.45
+ ,107.34
+ ,96.13
+ ,99.86
+ ,102.87
+ ,102.45
+ ,107.34
+ ,96.13
+ ,100.10
+ ,102.92
+ ,102.45
+ ,107.34
+ ,96.13
+ ,100.10
+ ,102.95
+ ,102.45
+ ,107.34
+ ,96.13
+ ,100.12
+ ,103.02
+ ,102.45
+ ,107.34
+ ,96.13
+ ,99.95
+ ,104.08
+ ,102.45
+ ,112.60
+ ,96.13
+ ,99.94
+ ,104.16
+ ,102.52
+ ,112.60
+ ,96.13
+ ,100.18
+ ,104.24
+ ,102.52
+ ,112.60
+ ,96.13
+ ,100.31
+ ,104.33
+ ,102.85
+ ,112.60
+ ,96.13
+ ,100.65
+ ,104.73
+ ,102.85
+ ,112.61
+ ,96.13
+ ,100.65
+ ,104.86
+ ,102.85
+ ,112.61
+ ,96.13
+ ,100.69
+ ,105.03
+ ,103.25
+ ,112.61
+ ,96.13
+ ,101.26
+ ,105.62
+ ,103.25
+ ,112.61
+ ,98.73
+ ,101.26
+ ,105.63
+ ,103.25
+ ,112.61
+ ,98.73
+ ,101.38
+ ,105.63
+ ,103.25
+ ,112.61
+ ,98.73
+ ,101.38
+ ,105.94
+ ,104.45
+ ,112.61
+ ,98.73
+ ,101.38
+ ,106.61
+ ,104.45
+ ,112.61
+ ,98.73
+ ,101.44
+ ,107.69
+ ,104.45
+ ,118.65
+ ,98.73
+ ,101.40
+ ,107.78
+ ,104.80
+ ,118.65
+ ,98.73
+ ,101.40
+ ,107.93
+ ,104.80
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+ ,98.73
+ ,100.58
+ ,108.48
+ ,105.29
+ ,118.65
+ ,98.73
+ ,100.58
+ ,108.14
+ ,105.29
+ ,114.29
+ ,98.73
+ ,100.58
+ ,108.48
+ ,105.29
+ ,114.29
+ ,98.73
+ ,100.59
+ ,108.48
+ ,105.29
+ ,114.29
+ ,98.73
+ ,100.81
+ ,108.89
+ ,106.04
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+ ,114.29
+ ,101.67
+ ,100.96
+ ,109.47
+ ,105.94
+ ,114.29
+ ,101.67
+ ,101.31
+ ,109.80
+ ,106.28
+ ,114.29
+ ,101.67
+ ,101.64
+ ,111.73
+ ,106.48
+ ,123.33
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+ ,101.46
+ ,111.85
+ ,107.19
+ ,123.33
+ ,101.67
+ ,101.73
+ ,112.12
+ ,108.14
+ ,123.33
+ ,101.67
+ ,101.73
+ ,112.15
+ ,108.22
+ ,123.33
+ ,101.67
+ ,101.64
+ ,112.17
+ ,108.22
+ ,123.33
+ ,101.67
+ ,101.77
+ ,112.67
+ ,108.61
+ ,123.33
+ ,101.67
+ ,101.74
+ ,112.80
+ ,108.61
+ ,123.33
+ ,101.67
+ ,101.89
+ ,113.44
+ ,108.61
+ ,123.33
+ ,107.94
+ ,101.89
+ ,113.53
+ ,108.61
+ ,123.33
+ ,107.94
+ ,101.93
+ ,114.53
+ ,109.06
+ ,123.33
+ ,107.94
+ ,101.93
+ ,114.51
+ ,109.06
+ ,123.33
+ ,107.94
+ ,102.32
+ ,115.05
+ ,112.93
+ ,123.33
+ ,107.94
+ ,102.41
+ ,116.67
+ ,115.84
+ ,129.03
+ ,107.94
+ ,103.58
+ ,117.07
+ ,118.57
+ ,128.76
+ ,107.94
+ ,104.12
+ ,116.92
+ ,118.57
+ ,128.76
+ ,107.94
+ ,104.10
+ ,117.00
+ ,118.86
+ ,128.76
+ ,107.94
+ ,104.15
+ ,117.02
+ ,118.98
+ ,128.76
+ ,107.94
+ ,104.15
+ ,117.35
+ ,119.27
+ ,128.76
+ ,107.94
+ ,104.16
+ ,117.36
+ ,119.39
+ ,128.76
+ ,107.94
+ ,102.94
+ ,117.82
+ ,119.49
+ ,128.76
+ ,110.30
+ ,103.07
+ ,117.88
+ ,119.59
+ ,128.76
+ ,110.30
+ ,103.04
+ ,118.24
+ ,120.12
+ ,128.76
+ ,110.30
+ ,103.06
+ ,118.50
+ ,120.14
+ ,128.76
+ ,110.30
+ ,103.05
+ ,118.80
+ ,120.14
+ ,128.76
+ ,110.30
+ ,102.95
+ ,119.76
+ ,120.14
+ ,132.63
+ ,110.30
+ ,102.95
+ ,120.09
+ ,120.14
+ ,132.63
+ ,110.30
+ ,103.05)
+ ,dim=c(5
+ ,58)
+ ,dimnames=list(c('cultuur'
+ ,'bioscoop'
+ ,'schouwburg'
+ ,'eendagsactr'
+ ,'huur')
+ ,1:58))
>  y <- array(NA,dim=c(5,58),dimnames=list(c('cultuur','bioscoop','schouwburg','eendagsactr','huur'),1:58))
>  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'
> par1 <- 'pearson'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/1nzdq1291973727.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] 5
> 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/28hbe1291973727.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 = 21.9017, df = 56, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.9105511 0.9679864 
sample estimates:
     cor 
0.946288 

> 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
7: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
8: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
9: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
10: 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/3mr9n1291973727.tab") 
> 
> try(system("convert tmp/1nzdq1291973727.ps tmp/1nzdq1291973727.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.584   0.220   1.413