R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(1966
+ ,1
+ ,41
+ ,1966
+ ,2
+ ,39
+ ,1966
+ ,3
+ ,50
+ ,1966
+ ,4
+ ,40
+ ,1966
+ ,5
+ ,43
+ ,1966
+ ,6
+ ,38
+ ,1966
+ ,7
+ ,44
+ ,1966
+ ,8
+ ,35
+ ,1966
+ ,9
+ ,39
+ ,1966
+ ,10
+ ,35
+ ,1966
+ ,11
+ ,29
+ ,1966
+ ,12
+ ,49
+ ,1967
+ ,1
+ ,50
+ ,1967
+ ,2
+ ,59
+ ,1967
+ ,3
+ ,63
+ ,1967
+ ,4
+ ,32
+ ,1967
+ ,5
+ ,39
+ ,1967
+ ,6
+ ,47
+ ,1967
+ ,7
+ ,53
+ ,1967
+ ,8
+ ,60
+ ,1967
+ ,9
+ ,57
+ ,1967
+ ,10
+ ,52
+ ,1967
+ ,11
+ ,70
+ ,1967
+ ,12
+ ,90
+ ,1968
+ ,1
+ ,74
+ ,1968
+ ,2
+ ,62
+ ,1968
+ ,3
+ ,55
+ ,1968
+ ,4
+ ,84
+ ,1968
+ ,5
+ ,94
+ ,1968
+ ,6
+ ,70
+ ,1968
+ ,7
+ ,108
+ ,1968
+ ,8
+ ,139
+ ,1968
+ ,9
+ ,120
+ ,1968
+ ,10
+ ,97
+ ,1968
+ ,11
+ ,126
+ ,1968
+ ,12
+ ,149
+ ,1969
+ ,1
+ ,158
+ ,1969
+ ,2
+ ,124
+ ,1969
+ ,3
+ ,140
+ ,1969
+ ,4
+ ,109
+ ,1969
+ ,5
+ ,114
+ ,1969
+ ,6
+ ,77
+ ,1969
+ ,7
+ ,120
+ ,1969
+ ,8
+ ,133
+ ,1969
+ ,9
+ ,110
+ ,1969
+ ,10
+ ,92
+ ,1969
+ ,11
+ ,97
+ ,1969
+ ,12
+ ,78
+ ,1970
+ ,1
+ ,99
+ ,1970
+ ,2
+ ,107
+ ,1970
+ ,3
+ ,112
+ ,1970
+ ,4
+ ,90
+ ,1970
+ ,5
+ ,98
+ ,1970
+ ,6
+ ,125
+ ,1970
+ ,7
+ ,155
+ ,1970
+ ,8
+ ,190
+ ,1970
+ ,9
+ ,236
+ ,1970
+ ,10
+ ,189
+ ,1970
+ ,11
+ ,174
+ ,1970
+ ,12
+ ,178
+ ,1971
+ ,1
+ ,136
+ ,1971
+ ,2
+ ,161
+ ,1971
+ ,3
+ ,171
+ ,1971
+ ,4
+ ,149
+ ,1971
+ ,5
+ ,184
+ ,1971
+ ,6
+ ,155
+ ,1971
+ ,7
+ ,276
+ ,1971
+ ,8
+ ,224
+ ,1971
+ ,9
+ ,213
+ ,1971
+ ,10
+ ,279
+ ,1971
+ ,11
+ ,268
+ ,1971
+ ,12
+ ,287
+ ,1972
+ ,1
+ ,238
+ ,1972
+ ,2
+ ,213
+ ,1972
+ ,3
+ ,257
+ ,1972
+ ,4
+ ,293
+ ,1972
+ ,5
+ ,212
+ ,1972
+ ,6
+ ,246
+ ,1972
+ ,7
+ ,353
+ ,1972
+ ,8
+ ,339
+ ,1972
+ ,9
+ ,308
+ ,1972
+ ,10
+ ,247
+ ,1972
+ ,11
+ ,257
+ ,1972
+ ,12
+ ,322
+ ,1973
+ ,1
+ ,298
+ ,1973
+ ,2
+ ,273
+ ,1973
+ ,3
+ ,312
+ ,1973
+ ,4
+ ,249
+ ,1973
+ ,5
+ ,286
+ ,1973
+ ,6
+ ,279
+ ,1973
+ ,7
+ ,309
+ ,1973
+ ,8
+ ,401
+ ,1973
+ ,9
+ ,309
+ ,1973
+ ,10
+ ,328
+ ,1973
+ ,11
+ ,353
+ ,1973
+ ,12
+ ,354
+ ,1974
+ ,1
+ ,327
+ ,1974
+ ,2
+ ,324
+ ,1974
+ ,3
+ ,285
+ ,1974
+ ,4
+ ,243
+ ,1974
+ ,5
+ ,241
+ ,1974
+ ,6
+ ,287
+ ,1974
+ ,7
+ ,355
+ ,1974
+ ,8
+ ,460
+ ,1974
+ ,9
+ ,364
+ ,1974
+ ,10
+ ,487
+ ,1974
+ ,11
+ ,452
+ ,1974
+ ,12
+ ,391
+ ,1975
+ ,1
+ ,500
+ ,1975
+ ,2
+ ,451
+ ,1975
+ ,3
+ ,375
+ ,1975
+ ,4
+ ,372
+ ,1975
+ ,5
+ ,302
+ ,1975
+ ,6
+ ,316
+ ,1975
+ ,7
+ ,398
+ ,1975
+ ,8
+ ,394
+ ,1975
+ ,9
+ ,431
+ ,1975
+ ,10
+ ,431)
+ ,dim=c(3
+ ,118)
+ ,dimnames=list(c('Year'
+ ,'Month'
+ ,'Robberies')
+ ,1:118))
>  y <- array(NA,dim=c(3,118),dimnames=list(c('Year','Month','Robberies'),1:118))
>  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'
> par1 <- 'pearson'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Patrick Wessa, (2012), Multivariate Correlation Matrix (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Patrick.Wessa/rwasp_pairs.wasp/
> #Source of accompanying publication: 
> #
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method=par1)
+ r <- round(rr$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/fisher/rcomp/tmp/1ds3b1354882568.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 3
> 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/fisher/rcomp/tmp/2xulq1354882568.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 = -0.4313, df = 116, p-value = 0.6671
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.2191864  0.1417724 
sample estimates:
        cor 
-0.04001234 

> 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 messages:
1: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
2: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
3: 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/fisher/rcomp/tmp/34f9b1354882568.tab") 
> 
> try(system("convert tmp/1ds3b1354882568.ps tmp/1ds3b1354882568.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.095   0.275   1.346