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 '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(3.66356
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+ ,5.5
+ ,1.1
+ ,0.9
+ ,138
+ ,24
+ ,199
+ ,2.3979
+ ,7.10003
+ ,-4
+ ,5.8
+ ,-0.4
+ ,78.4
+ ,11
+ ,399
+ ,2.63906
+ ,7.65681
+ ,-0.2
+ ,2.4
+ ,0
+ ,41
+ ,19
+ ,157
+ ,2.56495
+ ,4.70953
+ ,-2.8
+ ,1.8
+ ,1.4
+ ,198.9
+ ,3
+ ,537
+ ,3.3322
+ ,5.60212
+ ,3.8
+ ,3.9
+ ,-0.2
+ ,85
+ ,5
+ ,187
+ ,2.56495
+ ,7.85127
+ ,0.2
+ ,2.8
+ ,0.1
+ ,78
+ ,17
+ ,112
+ ,3.68888
+ ,7.89655
+ ,12.8
+ ,6.8
+ ,-0.6
+ ,227.7
+ ,15
+ ,583
+ ,2.3979
+ ,7.20638
+ ,-0.8
+ ,1.6
+ ,1.7
+ ,192.6
+ ,22
+ ,469
+ ,2.3979
+ ,4.89035
+ ,-10.8
+ ,1.5
+ ,0.2
+ ,57
+ ,3
+ ,460
+ ,4.68213
+ ,7.56735
+ ,-10.2
+ ,0.6
+ ,2.4
+ ,110.8
+ ,10
+ ,465
+ ,3.04452
+ ,7.61135
+ ,0.8
+ ,3.1
+ ,-0.1
+ ,65.6
+ ,19
+ ,429
+ ,3.04452
+ ,6.66823
+ ,4.1
+ ,1.4
+ ,0.2
+ ,139.8
+ ,24
+ ,572
+ ,2.19722
+ ,5.0689
+ ,4.3
+ ,4.9
+ ,0.1
+ ,82
+ ,2
+ ,212
+ ,3.17805
+ ,7.46107
+ ,-2.8
+ ,1.4
+ ,-0.1
+ ,243
+ ,20
+ ,102
+ ,4.48864
+ ,7.68018
+ ,-0.4
+ ,0.8
+ ,2.6
+ ,147
+ ,21
+ ,49
+ ,2.30259
+ ,7.80344
+ ,2.4
+ ,3.9
+ ,0.2
+ ,14.3
+ ,20
+ ,574
+ ,3.29584
+ ,8.26256
+ ,3.4
+ ,0.9
+ ,0.3
+ ,228
+ ,16
+ ,109
+ ,3.17805
+ ,7.6695
+ ,12.1
+ ,2.8
+ ,-3.2
+ ,256
+ ,13
+ ,203
+ ,4.06044
+ ,5.33272
+ ,-2.5
+ ,2
+ ,1.3
+ ,80.7
+ ,3
+ ,532
+ ,4.15888
+ ,6.30992
+ ,-4.5
+ ,2
+ ,0.3
+ ,90
+ ,24
+ ,100
+ ,3.09104
+ ,6.67456
+ ,2.2
+ ,7.1
+ ,0.1
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+ ,6
+ ,557
+ ,4.41884
+ ,8.09316
+ ,-4.7
+ ,1.4
+ ,1.2
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+ ,2.89037
+ ,6.56667
+ ,0.1
+ ,2.1
+ ,-0.2
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+ ,1.09861
+ ,5.83481
+ ,-5.8
+ ,7.7
+ ,0.1
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+ ,7
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+ ,3.43399
+ ,7.794
+ ,3.3
+ ,4.3
+ ,0.8
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+ ,3.52636
+ ,7.76089
+ ,2
+ ,1.7
+ ,1.1
+ ,234
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+ ,121
+ ,3.13549
+ ,7.67276
+ ,1.3
+ ,4.2
+ ,0.2
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+ ,10
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+ ,2.19722
+ ,7.979
+ ,1.4
+ ,5
+ ,-0.1
+ ,40.7
+ ,9
+ ,480
+ ,3.13549
+ ,7.78406
+ ,6.1
+ ,1.9
+ ,0.4
+ ,171
+ ,21
+ ,210
+ ,2.07944
+ ,5.95842
+ ,-3.1
+ ,4.2
+ ,-0.1
+ ,52.5
+ ,2
+ ,426
+ ,3.63759
+ ,4.54329
+ ,-11.5
+ ,1.7
+ ,3.7
+ ,90.4
+ ,4
+ ,465
+ ,3.73767
+ ,5.62762
+ ,-6.6
+ ,1
+ ,-0.1
+ ,200
+ ,2
+ ,445
+ ,2.48491
+ ,5.66643
+ ,-3.8
+ ,2.1
+ ,0.6
+ ,73
+ ,3
+ ,77
+ ,1.94591
+ ,7.54539
+ ,6.5
+ ,9.4
+ ,-0.9
+ ,250
+ ,11
+ ,160
+ ,1.94591
+ ,6.23832
+ ,-0.4
+ ,3.3
+ ,0.3
+ ,215.1
+ ,24
+ ,470
+ ,2.77259
+ ,4.56435
+ ,-6.3
+ ,2
+ ,2.3
+ ,223
+ ,3
+ ,148
+ ,2.70805
+ ,6.58203
+ ,2.2
+ ,1.8
+ ,0.1
+ ,64.2
+ ,6
+ ,549
+ ,1.79176
+ ,5.31321
+ ,-4.9
+ ,4.2
+ ,0.3
+ ,353
+ ,2
+ ,117
+ ,2.30259
+ ,5.61677
+ ,-1.3
+ ,2.8
+ ,-0.1
+ ,65.2
+ ,1
+ ,486
+ ,4.11087
+ ,7.7111
+ ,-5.1
+ ,0.7
+ ,0.3
+ ,60
+ ,10
+ ,99
+ ,3.4012
+ ,6.2519
+ ,0.1
+ ,1
+ ,0.2
+ ,87
+ ,24
+ ,111
+ ,3.68888
+ ,7.85516
+ ,6.5
+ ,5.2
+ ,-0.2
+ ,69
+ ,19
+ ,196
+ ,4.17439
+ ,8.24512
+ ,8.6
+ ,1.6
+ ,-1
+ ,258.8
+ ,15
+ ,530)
+ ,dim=c(8
+ ,500)
+ ,dimnames=list(c('PM10'
+ ,'Cars'
+ ,'Temp'
+ ,'Windspeed'
+ ,'Tempdiff'
+ ,'Winddir'
+ ,'hour'
+ ,'day')
+ ,1:500))
>  y <- array(NA,dim=c(8,500),dimnames=list(c('PM10','Cars','Temp','Windspeed','Tempdiff','Winddir','hour','day'),1:500))
>  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/12l5m1291985586.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] 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/2gc3d1291985586.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 = 8.4907, df = 498, p-value = 2.220e-16
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.2765396 0.4298919 
sample estimates:
      cor 
0.3556068 

> 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/3um1m1291985586.tab") 
> 
> try(system("convert tmp/12l5m1291985586.ps tmp/12l5m1291985586.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.950   1.619  12.834