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(1.8
+ ,0.8
+ ,2.9
+ ,1.8
+ ,2.3
+ ,0.8
+ ,2.6
+ ,1.7
+ ,-0.1
+ ,2.9
+ ,1.7
+ ,2.2
+ ,1
+ ,2.2
+ ,1.4
+ ,-1.5
+ ,2.9
+ ,1.6
+ ,2.1
+ ,0.6
+ ,2.3
+ ,1.2
+ ,-4.4
+ ,1.4
+ ,1.8
+ ,2.4
+ ,0.9
+ ,2.4
+ ,1
+ ,-4.2
+ ,1.1
+ ,1.6
+ ,2.5
+ ,0.6
+ ,2.1
+ ,1.7
+ ,3.5
+ ,1.9
+ ,1.5
+ ,2.4
+ ,0.6
+ ,1.9
+ ,2.4
+ ,10
+ ,2.8
+ ,1.5
+ ,2.3
+ ,0.4
+ ,2.2
+ ,2
+ ,8.6
+ ,1.4
+ ,1.3
+ ,2.1
+ ,0.3
+ ,1.9
+ ,2.1
+ ,9.5
+ ,0.7
+ ,1.4
+ ,2.3
+ ,0
+ ,2.3
+ ,2
+ ,9.9
+ ,-0.8
+ ,1.4
+ ,2.2
+ ,0.3
+ ,2.1
+ ,1.8
+ ,10.4
+ ,-3.1
+ ,1.3
+ ,2.1
+ ,0.1
+ ,2.2
+ ,2.7
+ ,16
+ ,0.1
+ ,1.3
+ ,2
+ ,0
+ ,2.3
+ ,2.3
+ ,12.7
+ ,1
+ ,1.2
+ ,2.1
+ ,0
+ ,1.9
+ ,1.9
+ ,10.2
+ ,1.9
+ ,1.1
+ ,2.1
+ ,0
+ ,1.7
+ ,2
+ ,8.9
+ ,-0.5
+ ,1.4
+ ,2.5
+ ,-0.2
+ ,2.5
+ ,2.3
+ ,12.6
+ ,1.5
+ ,1.2
+ ,2.2
+ ,-0.3
+ ,2.1
+ ,2.8
+ ,13.6
+ ,3.9
+ ,1.5
+ ,2.3
+ ,0.1
+ ,2.4
+ ,2.4
+ ,14.8
+ ,1.9
+ ,1.1
+ ,2.3
+ ,0.1
+ ,1.5
+ ,2.3
+ ,9.5
+ ,2.6
+ ,1.3
+ ,2.2
+ ,0.4
+ ,1.9
+ ,2.7
+ ,13.7
+ ,1.7
+ ,1.5
+ ,2.2
+ ,0.4
+ ,2.1
+ ,2.7
+ ,17
+ ,1.4
+ ,1.1
+ ,1.6
+ ,-0.5
+ ,2.2
+ ,2.9
+ ,14.7
+ ,2.8
+ ,1.4
+ ,1.8
+ ,0.5
+ ,2
+ ,3
+ ,17.4
+ ,0.5
+ ,1.3
+ ,1.7
+ ,0.4
+ ,2
+ ,2.2
+ ,9
+ ,1
+ ,1.5
+ ,1.9
+ ,0.7
+ ,2.2
+ ,2.3
+ ,9.1
+ ,1.5
+ ,1.6
+ ,1.8
+ ,0.8
+ ,2.3
+ ,2.8
+ ,12.2
+ ,1.8
+ ,1.7
+ ,1.9
+ ,0.8
+ ,2.3
+ ,2.8
+ ,15.9
+ ,2.7
+ ,1.1
+ ,1.5
+ ,0
+ ,2
+ ,2.8
+ ,12.9
+ ,3
+ ,1.6
+ ,1
+ ,1.1
+ ,2.2
+ ,2.2
+ ,10.9
+ ,-0.3
+ ,1.3
+ ,0.8
+ ,0.9
+ ,1.9
+ ,2.6
+ ,10.6
+ ,1.1
+ ,1.7
+ ,1.1
+ ,1.1
+ ,2.3
+ ,2.8
+ ,13.2
+ ,1.7
+ ,1.6
+ ,1.5
+ ,1
+ ,2.2
+ ,2.5
+ ,9.6
+ ,1.6
+ ,1.7
+ ,1.7
+ ,1.1
+ ,2.3
+ ,2.4
+ ,6.4
+ ,3
+ ,1.9
+ ,2.3
+ ,1.5
+ ,2.1
+ ,2.3
+ ,5.8
+ ,3.3
+ ,1.8
+ ,2.4
+ ,1
+ ,2.4
+ ,1.9
+ ,-1
+ ,6.7
+ ,1.9
+ ,3
+ ,1
+ ,2.3
+ ,1.7
+ ,-0.2
+ ,5.6
+ ,1.6
+ ,3
+ ,0.9
+ ,1.9
+ ,2
+ ,2.7
+ ,6
+ ,1.5
+ ,3.2
+ ,0.8
+ ,1.6
+ ,2.1
+ ,3.6
+ ,4.8
+ ,1.6
+ ,3.2
+ ,0.8
+ ,1.8
+ ,1.7
+ ,-0.9
+ ,5.9
+ ,1.6
+ ,3.2
+ ,0.8
+ ,1.8
+ ,1.8
+ ,0.3
+ ,4.3
+ ,1.7
+ ,3.5
+ ,0.8
+ ,2
+ ,1.8
+ ,-1.1
+ ,3.7
+ ,2
+ ,4
+ ,0.9
+ ,2.3
+ ,1.8
+ ,-2.5
+ ,5.6
+ ,2
+ ,4.3
+ ,0.8
+ ,2.2
+ ,1.3
+ ,-3.4
+ ,1.7
+ ,1.9
+ ,4.1
+ ,0.7
+ ,2.2
+ ,1.3
+ ,-3.5
+ ,3.2
+ ,1.7
+ ,4
+ ,0.6
+ ,2
+ ,1.3
+ ,-3.9
+ ,3.6
+ ,1.8
+ ,4.1
+ ,0.6
+ ,2
+ ,1.2
+ ,-4.6
+ ,1.7
+ ,1.9
+ ,4.2
+ ,1
+ ,1.9
+ ,1.4
+ ,-0.1
+ ,0.5
+ ,1.7
+ ,4.5
+ ,1
+ ,1.5
+ ,2.2
+ ,4.3
+ ,2.1
+ ,2
+ ,5.6
+ ,1
+ ,1.6
+ ,2.9
+ ,10.2
+ ,1.5
+ ,2.1
+ ,6.5
+ ,1.1
+ ,1.5
+ ,3.1
+ ,8.7
+ ,2.7
+ ,2.4
+ ,7.6
+ ,1.1
+ ,2
+ ,3.5
+ ,13.3
+ ,1.4
+ ,2.5
+ ,8.5
+ ,1.4
+ ,1.5
+ ,3.6
+ ,15
+ ,1.2
+ ,2.5
+ ,8.7
+ ,1.2
+ ,1.5
+ ,4.4
+ ,20.7
+ ,2.3
+ ,2.6
+ ,8.3
+ ,1.2
+ ,1.9
+ ,4.1
+ ,20.7
+ ,1.6
+ ,2.2
+ ,8.3
+ ,1.3
+ ,1.1
+ ,5.1
+ ,26.4
+ ,4.7
+ ,2.5
+ ,8.5
+ ,1.4
+ ,1.5
+ ,5.8
+ ,31.2
+ ,3.5
+ ,2.8
+ ,8.7
+ ,1.4
+ ,2.1
+ ,5.9
+ ,31.4
+ ,4.4
+ ,2.8
+ ,8.7
+ ,1.1
+ ,2.3
+ ,5.4
+ ,26.6
+ ,3.9
+ ,2.9
+ ,8.5
+ ,1.1
+ ,2.6
+ ,5.5
+ ,26.6
+ ,3.5
+ ,3
+ ,7.9
+ ,1.3
+ ,2.9
+ ,4.8
+ ,19.2
+ ,3
+ ,3.1
+ ,7
+ ,1.5
+ ,3.2
+ ,3.2
+ ,6.5
+ ,1.6
+ ,2.9
+ ,5.8
+ ,1.5
+ ,3.2)
+ ,dim=c(7
+ ,61)
+ ,dimnames=list(c('HICP'
+ ,'ED'
+ ,'NBL'
+ ,'IT'
+ ,'BL'
+ ,'NEI'
+ ,'D')
+ ,1:61))
>  y <- array(NA,dim=c(7,61),dimnames=list(c('HICP','ED','NBL','IT','BL','NEI','D'),1:61))
>  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/html/rcomp/tmp/1wpfv1293188581.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/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] 7
> 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/20pe11293188581.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 = 16.6672, df = 59, p-value < 2.2e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.8510006 0.9440985 
sample estimates:
      cor 
0.9081954 

> 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 21 warnings (use warnings() to see them)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3whcr1293188581.tab") 
> 
> try(system("convert tmp/1wpfv1293188581.ps tmp/1wpfv1293188581.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.771   0.313   1.905