R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(6.3
+ ,0.301029996
+ ,0.653212514
+ ,0
+ ,0.819543936
+ ,1.62324929
+ ,3
+ ,1
+ ,3
+ ,2.1
+ ,0.255272505
+ ,1.838849091
+ ,3.406028945
+ ,3.663040975
+ ,2.79518459
+ ,3
+ ,5
+ ,4
+ ,9.1
+ ,-0.15490196
+ ,1.431363764
+ ,1.02325246
+ ,2.254064453
+ ,2.255272505
+ ,4
+ ,4
+ ,4
+ ,15.8
+ ,0.591064607
+ ,1.278753601
+ ,-1.638272164
+ ,-0.522878745
+ ,1.544068044
+ ,1
+ ,1
+ ,1
+ ,5.2
+ ,0
+ ,1.482873584
+ ,2.204119983
+ ,2.227886705
+ ,2.593286067
+ ,4
+ ,5
+ ,4
+ ,10.9
+ ,0.556302501
+ ,1.447158031
+ ,0.51851394
+ ,1.408239965
+ ,1.799340549
+ ,1
+ ,2
+ ,1
+ ,8.3
+ ,0.146128036
+ ,1.698970004
+ ,1.717337583
+ ,2.643452676
+ ,2.361727836
+ ,1
+ ,1
+ ,1
+ ,11
+ ,0.176091259
+ ,0.84509804
+ ,-0.37161107
+ ,0.806179974
+ ,2.049218023
+ ,5
+ ,4
+ ,4
+ ,3.2
+ ,-0.15490196
+ ,1.477121255
+ ,2.667452953
+ ,2.626340367
+ ,2.44870632
+ ,5
+ ,5
+ ,5
+ ,6.3
+ ,0.322219295
+ ,0.544068044
+ ,-1.124938737
+ ,0.079181246
+ ,1.62324929
+ ,1
+ ,1
+ ,1
+ ,6.6
+ ,0.612783857
+ ,0.77815125
+ ,-0.105130343
+ ,0.544068044
+ ,1.62324929
+ ,2
+ ,2
+ ,2
+ ,9.5
+ ,0.079181246
+ ,1.017033339
+ ,-0.698970004
+ ,0.698970004
+ ,2.079181246
+ ,2
+ ,2
+ ,2
+ ,3.3
+ ,-0.301029996
+ ,1.301029996
+ ,1.441852176
+ ,2.06069784
+ ,2.170261715
+ ,5
+ ,5
+ ,5
+ ,11
+ ,0.531478917
+ ,0.591064607
+ ,-0.920818754
+ ,0
+ ,1.204119983
+ ,3
+ ,1
+ ,2
+ ,4.7
+ ,0.176091259
+ ,1.612783857
+ ,1.929418926
+ ,2.511883361
+ ,2.491361694
+ ,1
+ ,3
+ ,1
+ ,10.4
+ ,0.531478917
+ ,0.954242509
+ ,-0.995678626
+ ,0.602059991
+ ,1.447158031
+ ,5
+ ,1
+ ,3
+ ,7.4
+ ,-0.096910013
+ ,0.880813592
+ ,0.017033339
+ ,0.740362689
+ ,1.832508913
+ ,5
+ ,3
+ ,4
+ ,2.1
+ ,-0.096910013
+ ,1.662757832
+ ,2.716837723
+ ,2.8162413
+ ,2.526339277
+ ,5
+ ,5
+ ,5
+ ,17.9
+ ,0.301029996
+ ,1.380211242
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+ ,1.698970004
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+ ,1
+ ,1
+ ,6.1
+ ,0.278753601
+ ,2
+ ,1.792391689
+ ,3.120573931
+ ,2.426511261
+ ,1
+ ,1
+ ,1
+ ,11.9
+ ,0.113943352
+ ,0.505149978
+ ,-1.638272164
+ ,-0.397940009
+ ,1.278753601
+ ,4
+ ,1
+ ,3
+ ,13.8
+ ,0.748188027
+ ,0.698970004
+ ,0.230448921
+ ,0.799340549
+ ,1.079181246
+ ,2
+ ,1
+ ,1
+ ,14.3
+ ,0.491361694
+ ,0.812913357
+ ,0.544068044
+ ,1.033423755
+ ,2.079181246
+ ,2
+ ,1
+ ,1
+ ,15.2
+ ,0.255272505
+ ,1.079181246
+ ,-0.318758763
+ ,1.190331698
+ ,2.146128036
+ ,2
+ ,2
+ ,2
+ ,10
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+ ,1.305351369
+ ,1
+ ,2.06069784
+ ,2.230448921
+ ,4
+ ,4
+ ,4
+ ,11.9
+ ,0.255272505
+ ,1.113943352
+ ,0.209515015
+ ,1.056904851
+ ,1.230448921
+ ,2
+ ,1
+ ,2
+ ,6.5
+ ,0.278753601
+ ,1.431363764
+ ,2.283301229
+ ,2.255272505
+ ,2.06069784
+ ,4
+ ,4
+ ,4
+ ,7.5
+ ,-0.045757491
+ ,1.255272505
+ ,0.397940009
+ ,1.08278537
+ ,1.491361694
+ ,5
+ ,5
+ ,5
+ ,10.6
+ ,0.414973348
+ ,0.672097858
+ ,-0.552841969
+ ,0.278753601
+ ,1.322219295
+ ,3
+ ,1
+ ,3
+ ,7.4
+ ,0.380211242
+ ,0.991226076
+ ,0.626853415
+ ,1.702430536
+ ,1.716003344
+ ,1
+ ,1
+ ,1
+ ,8.4
+ ,0.079181246
+ ,1.462397998
+ ,0.832508913
+ ,2.252853031
+ ,2.214843848
+ ,2
+ ,3
+ ,2
+ ,5.7
+ ,-0.045757491
+ ,0.84509804
+ ,-0.124938737
+ ,1.089905111
+ ,2.352182518
+ ,2
+ ,2
+ ,2
+ ,4.9
+ ,-0.301029996
+ ,0.77815125
+ ,0.556302501
+ ,1.322219295
+ ,2.352182518
+ ,3
+ ,2
+ ,3
+ ,3.2
+ ,-0.22184875
+ ,1.301029996
+ ,1.744292983
+ ,2.243038049
+ ,2.178976947
+ ,5
+ ,5
+ ,5
+ ,11
+ ,0.361727836
+ ,0.653212514
+ ,-0.045757491
+ ,0.414973348
+ ,1.77815125
+ ,2
+ ,1
+ ,2
+ ,4.9
+ ,-0.301029996
+ ,0.875061263
+ ,0.301029996
+ ,1.089905111
+ ,2.301029996
+ ,3
+ ,1
+ ,3
+ ,13.2
+ ,0.414973348
+ ,0.361727836
+ ,-0.982966661
+ ,0.397940009
+ ,1.662757832
+ ,3
+ ,2
+ ,2
+ ,9.7
+ ,-0.22184875
+ ,1.380211242
+ ,0.622214023
+ ,1.763427994
+ ,2.322219295
+ ,4
+ ,3
+ ,4
+ ,12.8
+ ,0.819543936
+ ,0.477121255
+ ,0.544068044
+ ,0.591064607
+ ,1.146128036
+ ,2
+ ,1
+ ,1)
+ ,dim=c(9
+ ,39)
+ ,dimnames=list(c('SWS'
+ ,'LogPS'
+ ,'LogL'
+ ,'LogWb'
+ ,'LogBr'
+ ,'LogTg'
+ ,'P'
+ ,'S'
+ ,'D')
+ ,1:39))
>  y <- array(NA,dim=c(9,39),dimnames=list(c('SWS','LogPS','LogL','LogWb','LogBr','LogTg','P','S','D'),1:39))
>  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: 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/rcomp/tmp/18ksy1291670942.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)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 9
> 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/rcomp/tmp/2b2rm1291670942.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 = 4.3485, df = 37, p-value = 0.0001033
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.3258349 0.7579938 
sample estimates:
      cor 
0.5815635 

> 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 50 or more warnings (use warnings() to see the first 50)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/37u6c1291670942.tab") 
> 
> try(system("convert tmp/18ksy1291670942.ps tmp/18ksy1291670942.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   0.95    0.28    1.22