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(695
+ ,0
+ ,641
+ ,696
+ ,729
+ ,839
+ ,627
+ ,608
+ ,638
+ ,0
+ ,695
+ ,641
+ ,696
+ ,729
+ ,696
+ ,651
+ ,762
+ ,0
+ ,638
+ ,695
+ ,641
+ ,696
+ ,825
+ ,691
+ ,635
+ ,0
+ ,762
+ ,638
+ ,695
+ ,641
+ ,677
+ ,627
+ ,721
+ ,0
+ ,635
+ ,762
+ ,638
+ ,695
+ ,656
+ ,634
+ ,854
+ ,0
+ ,721
+ ,635
+ ,762
+ ,638
+ ,785
+ ,731
+ ,418
+ ,0
+ ,854
+ ,721
+ ,635
+ ,762
+ ,412
+ ,475
+ ,367
+ ,0
+ ,418
+ ,854
+ ,721
+ ,635
+ ,352
+ ,337
+ ,824
+ ,0
+ ,367
+ ,418
+ ,854
+ ,721
+ ,839
+ ,803
+ ,687
+ ,0
+ ,824
+ ,367
+ ,418
+ ,854
+ ,729
+ ,722
+ ,601
+ ,0
+ ,687
+ ,824
+ ,367
+ ,418
+ ,696
+ ,590
+ ,676
+ ,0
+ ,601
+ ,687
+ ,824
+ ,367
+ ,641
+ ,724
+ ,740
+ ,0
+ ,676
+ ,601
+ ,687
+ ,824
+ ,695
+ ,627
+ ,691
+ ,0
+ ,740
+ ,676
+ ,601
+ ,687
+ ,638
+ ,696
+ ,683
+ ,0
+ ,691
+ ,740
+ ,676
+ ,601
+ ,762
+ ,825
+ ,594
+ ,0
+ ,683
+ ,691
+ ,740
+ ,676
+ ,635
+ ,677
+ ,729
+ ,0
+ ,594
+ ,683
+ ,691
+ ,740
+ ,721
+ ,656
+ ,731
+ ,0
+ ,729
+ ,594
+ ,683
+ ,691
+ ,854
+ ,785
+ ,386
+ ,0
+ ,731
+ ,729
+ ,594
+ ,683
+ ,418
+ ,412
+ ,331
+ ,0
+ ,386
+ ,731
+ ,729
+ ,594
+ ,367
+ ,352
+ ,706
+ ,0
+ ,331
+ ,386
+ ,731
+ ,729
+ ,824
+ ,839
+ ,715
+ ,0
+ ,706
+ ,331
+ ,386
+ ,731
+ ,687
+ ,729
+ ,657
+ ,0
+ ,715
+ ,706
+ ,331
+ ,386
+ ,601
+ ,696
+ ,653
+ ,0
+ ,657
+ ,715
+ ,706
+ ,331
+ ,676
+ ,641
+ ,642
+ ,0
+ ,653
+ ,657
+ ,715
+ ,706
+ ,740
+ ,695
+ ,643
+ ,0
+ ,642
+ ,653
+ ,657
+ ,715
+ ,691
+ ,638
+ ,718
+ ,0
+ ,643
+ ,642
+ ,653
+ ,657
+ ,683
+ ,762
+ ,654
+ ,0
+ ,718
+ ,643
+ ,642
+ ,653
+ ,594
+ ,635
+ ,632
+ ,0
+ ,654
+ ,718
+ ,643
+ ,642
+ ,729
+ ,721
+ ,731
+ ,0
+ ,632
+ ,654
+ ,718
+ ,643
+ ,731
+ ,854
+ ,392
+ ,1
+ ,731
+ ,632
+ ,654
+ ,718
+ ,386
+ ,418
+ ,344
+ ,1
+ ,392
+ ,731
+ ,632
+ ,654
+ ,331
+ ,367
+ ,792
+ ,1
+ ,344
+ ,392
+ ,731
+ ,632
+ ,706
+ ,824
+ ,852
+ ,1
+ ,792
+ ,344
+ ,392
+ ,731
+ ,715
+ ,687
+ ,649
+ ,1
+ ,852
+ ,792
+ ,344
+ ,392
+ ,657
+ ,601
+ ,629
+ ,1
+ ,649
+ ,852
+ ,792
+ ,344
+ ,653
+ ,676
+ ,685
+ ,1
+ ,629
+ ,649
+ ,852
+ ,792
+ ,642
+ ,740
+ ,617
+ ,1
+ ,685
+ ,629
+ ,649
+ ,852
+ ,643
+ ,691
+ ,715
+ ,1
+ ,617
+ ,685
+ ,629
+ ,649
+ ,718
+ ,683
+ ,715
+ ,1
+ ,715
+ ,617
+ ,685
+ ,629
+ ,654
+ ,594
+ ,629
+ ,1
+ ,715
+ ,715
+ ,617
+ ,685
+ ,632
+ ,729
+ ,916
+ ,1
+ ,629
+ ,715
+ ,715
+ ,617
+ ,731
+ ,731
+ ,531
+ ,1
+ ,916
+ ,629
+ ,715
+ ,715
+ ,392
+ ,386
+ ,357
+ ,1
+ ,531
+ ,916
+ ,629
+ ,715
+ ,344
+ ,331
+ ,917
+ ,1
+ ,357
+ ,531
+ ,916
+ ,629
+ ,792
+ ,706
+ ,828
+ ,1
+ ,917
+ ,357
+ ,531
+ ,916
+ ,852
+ ,715
+ ,708
+ ,1
+ ,828
+ ,917
+ ,357
+ ,531
+ ,649
+ ,657
+ ,858
+ ,1
+ ,708
+ ,828
+ ,917
+ ,357
+ ,629
+ ,653
+ ,775
+ ,1
+ ,858
+ ,708
+ ,828
+ ,917
+ ,685
+ ,642
+ ,785
+ ,1
+ ,775
+ ,858
+ ,708
+ ,828
+ ,617
+ ,643
+ ,1006
+ ,1
+ ,785
+ ,775
+ ,858
+ ,708
+ ,715
+ ,718
+ ,789
+ ,1
+ ,1006
+ ,785
+ ,775
+ ,858
+ ,715
+ ,654
+ ,734
+ ,1
+ ,789
+ ,1006
+ ,785
+ ,775
+ ,629
+ ,632
+ ,906
+ ,1
+ ,734
+ ,789
+ ,1006
+ ,785
+ ,916
+ ,731
+ ,532
+ ,1
+ ,906
+ ,734
+ ,789
+ ,1006
+ ,531
+ ,392
+ ,387
+ ,1
+ ,532
+ ,906
+ ,734
+ ,789
+ ,357
+ ,344
+ ,991
+ ,1
+ ,387
+ ,532
+ ,906
+ ,734
+ ,917
+ ,792
+ ,841
+ ,1
+ ,991
+ ,387
+ ,532
+ ,906
+ ,828
+ ,852
+ ,892
+ ,1
+ ,841
+ ,991
+ ,387
+ ,532
+ ,708
+ ,649
+ ,782
+ ,1
+ ,892
+ ,841
+ ,991
+ ,387
+ ,858
+ ,629)
+ ,dim=c(8
+ ,60)
+ ,dimnames=list(c('faillissement'
+ ,'crisis'
+ ,'t-1'
+ ,'t-2'
+ ,'t-3'
+ ,'t-4'
+ ,'t-12'
+ ,'t-24
')
+ ,1:60))
>  y <- array(NA,dim=c(8,60),dimnames=list(c('faillissement','crisis','t-1','t-2','t-3','t-4','t-12','t-24
'),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 = '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/www/html/rcomp/tmp/19q1a1292955410.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)
Warning messages:
1: In strwidth(labels, "user") : font width unknown for character 0xd
2: In text.default(x, y, txt, cex = cex, font = font) :
  font width unknown for character 0xd
3: In text.default(x, y, txt, cex = cex, font = font) :
  font metrics unknown for character 0xd
> 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] 8
> 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/2nizj1292955410.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 = 1.9961, p-value = 0.04593
alternative hypothesis: true tau is not equal to 0 
sample estimates:
     tau 
0.214225 

> 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 28 warnings (use warnings() to see them)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3rjfo1292955410.tab") 
> 
> try(system("convert tmp/19q1a1292955410.ps tmp/19q1a1292955410.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.066   0.374   2.193