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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> x <- array(list(989236
+ ,10489.94
+ ,1008380
+ ,10766.23
+ ,1207763
+ ,10503.76
+ ,1368839
+ ,10192.51
+ ,1469798
+ ,10467.48
+ ,1498721
+ ,10274.97
+ ,1761769
+ ,10640.91
+ ,1653214
+ ,10481.6
+ ,1599104
+ ,10568.7
+ ,1421179
+ ,10440.07
+ ,1163995
+ ,10805.87
+ ,1037735
+ ,10717.5
+ ,1015407
+ ,10864.86
+ ,1039210
+ ,10993.41
+ ,1258049
+ ,11109.32
+ ,1469445
+ ,11367.14
+ ,1552346
+ ,11168.31
+ ,1549144
+ ,11150.22
+ ,1785895
+ ,11185.68
+ ,1662335
+ ,11381.15
+ ,1629440
+ ,11679.07
+ ,1467430
+ ,12080.73
+ ,1202209
+ ,12221.93
+ ,1076982
+ ,12463.15
+ ,1039367
+ ,12621.69
+ ,1063449
+ ,12268.63
+ ,1335135
+ ,12354.35
+ ,1491602
+ ,13062.91
+ ,1591972
+ ,13627.64
+ ,1641248
+ ,13408.62
+ ,1898849
+ ,13211.99
+ ,1798580
+ ,13357.74
+ ,1762444
+ ,13895.63
+ ,1622044
+ ,13930.01
+ ,1368955
+ ,13371.72
+ ,1262973
+ ,13264.82
+ ,1195650
+ ,12650.36
+ ,1269530
+ ,12266.39
+ ,1479279
+ ,12262.89
+ ,1607819
+ ,12820.13
+ ,1712466
+ ,12638.32
+ ,1721766
+ ,11350.01
+ ,1949843
+ ,11378.02
+ ,1821326
+ ,11543.55
+ ,1757802
+ ,10850.66
+ ,1590367
+ ,9325.01
+ ,1260647
+ ,8829.04
+ ,1149235
+ ,8776.39
+ ,1016367
+ ,8000.86
+ ,1027885
+ ,7062.93
+ ,1262159
+ ,7608.92
+ ,1520854
+ ,8168.12
+ ,1544144
+ ,8500.33
+ ,1564709
+ ,8447
+ ,1821776
+ ,9171.61
+ ,1741365
+ ,9496.28
+ ,1623386
+ ,9712.28
+ ,1498658
+ ,9712.73
+ ,1241822
+ ,10344.84
+ ,1136029
+ ,10428.05)
+ ,dim=c(2
+ ,60)
+ ,dimnames=list(c('Passengers'
+ ,'DJIA')
+ ,1:60))
>  y <- array(NA,dim=c(2,60),dimnames=list(c('Passengers','DJIA'),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 = '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/17qok1292237927.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] 2
> 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/2br4q1292237927.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 = 1.5783, df = 58, p-value = 0.1199
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.05376763  0.43446507 
sample estimates:
      cor 
0.2029276 

> 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)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3pjkh1292237927.tab") 
> 
> try(system("convert tmp/17qok1292237927.ps tmp/17qok1292237927.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.410   0.186   0.834