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(9506
+ ,1775
+ ,8704
+ ,2197
+ ,10079
+ ,2920
+ ,8993
+ ,4240
+ ,9957
+ ,5415
+ ,10240
+ ,6136
+ ,10098
+ ,6719
+ ,10090
+ ,6234
+ ,9867
+ ,7152
+ ,9736
+ ,3646
+ ,9040
+ ,2165
+ ,9232
+ ,2803
+ ,9520
+ ,1615
+ ,9217
+ ,2350
+ ,9868
+ ,3350
+ ,9455
+ ,3536
+ ,9984
+ ,5834
+ ,9556
+ ,6767
+ ,10190
+ ,5993
+ ,9906
+ ,7276
+ ,9824
+ ,5641
+ ,9972
+ ,3477
+ ,9185
+ ,2247
+ ,9765
+ ,2466
+ ,9838
+ ,1567
+ ,9084
+ ,2237
+ ,9643
+ ,2598
+ ,10051
+ ,3729
+ ,9987
+ ,5715
+ ,9827
+ ,5776
+ ,10491
+ ,5852
+ ,9722
+ ,6878
+ ,9472
+ ,5488
+ ,9728
+ ,3583
+ ,8510
+ ,2054
+ ,9511
+ ,2282
+ ,9492
+ ,1552
+ ,8638
+ ,2261
+ ,9792
+ ,2446
+ ,9605
+ ,3519
+ ,9237
+ ,5161
+ ,9533
+ ,5085
+ ,10293
+ ,5711
+ ,9938
+ ,6057
+ ,9984
+ ,5224
+ ,9563
+ ,3363
+ ,8871
+ ,1899
+ ,9301
+ ,2115
+ ,9215
+ ,1491
+ ,8834
+ ,2061
+ ,9998
+ ,2419
+ ,9604
+ ,3430
+ ,9507
+ ,4778
+ ,9718
+ ,4862
+ ,10095
+ ,6176
+ ,9583
+ ,5664
+ ,9883
+ ,5529
+ ,9365
+ ,3418
+ ,8919
+ ,1941
+ ,9449
+ ,2402
+ ,9769
+ ,1579
+ ,9321
+ ,2146
+ ,9939
+ ,2462
+ ,9336
+ ,3695
+ ,10195
+ ,4831
+ ,9464
+ ,5134
+ ,10010
+ ,6250
+ ,10213
+ ,5760
+ ,9563
+ ,6249
+ ,9890
+ ,2917
+ ,9305
+ ,1741
+ ,9391
+ ,2359
+ ,9743
+ ,1511
+ ,8587
+ ,2059
+ ,9731
+ ,2635
+ ,9563
+ ,2867
+ ,9998
+ ,4403
+ ,9437
+ ,5720
+ ,10038
+ ,4502
+ ,9918
+ ,5749
+ ,9252
+ ,5627
+ ,9737
+ ,2846
+ ,9035
+ ,1762
+ ,9133
+ ,2429
+ ,9487
+ ,1169
+ ,8700
+ ,2154
+ ,9627
+ ,2249
+ ,8947
+ ,2687
+ ,9283
+ ,4359
+ ,8829
+ ,5382
+ ,9947
+ ,4459
+ ,9628
+ ,6398
+ ,9318
+ ,4596
+ ,9605
+ ,3024
+ ,8640
+ ,1887
+ ,9214
+ ,2070
+ ,9676
+ ,1351
+ ,8642
+ ,2218
+ ,9402
+ ,2461
+ ,9610
+ ,3028
+ ,9294
+ ,4784
+ ,9448
+ ,4975
+ ,10319
+ ,4607
+ ,9548
+ ,6249
+ ,9801
+ ,4809
+ ,9596
+ ,3157
+ ,8923
+ ,1910
+ ,9746
+ ,2228
+ ,9829
+ ,1594
+ ,9125
+ ,2467
+ ,9782
+ ,2222
+ ,9441
+ ,3607
+ ,9162
+ ,4685
+ ,9915
+ ,4962
+ ,10444
+ ,5770
+ ,10209
+ ,5480
+ ,9985
+ ,5000
+ ,9842
+ ,3228
+ ,9429
+ ,1993
+ ,10132
+ ,2288
+ ,9849
+ ,1588
+ ,9172
+ ,2105
+ ,10313
+ ,2191
+ ,9819
+ ,3591
+ ,9955
+ ,4668
+ ,10048
+ ,4885
+ ,10082
+ ,5822
+ ,10541
+ ,5599
+ ,10208
+ ,5340
+ ,10233
+ ,3082
+ ,9439
+ ,2010
+ ,9963
+ ,2301)
+ ,dim=c(2
+ ,132)
+ ,dimnames=list(c('births'
+ ,'marriages')
+ ,1:132))
>  y <- array(NA,dim=c(2,132),dimnames=list(c('births','marriages'),1:132))
>  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/1ohfn1293210426.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/29iea1293210426.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 = 6.0997, df = 130, p-value = 1.134e-08
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 0.3272224 0.5946600 
sample estimates:
      cor 
0.4717195 

> 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)
+ }
+ }
Warning message:
In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3n9cj1293210426.tab") 
> 
> try(system("convert tmp/1ohfn1293210426.ps tmp/1ohfn1293210426.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.446   0.202   0.989