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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(3010
+ ,2590
+ ,11290
+ ,4700
+ ,44.51
+ ,2910
+ ,2080
+ ,11620
+ ,4960
+ ,45.48
+ ,3840
+ ,2640
+ ,10790
+ ,4880
+ ,53.1
+ ,3580
+ ,3000
+ ,8380
+ ,4090
+ ,51.88
+ ,3140
+ ,2350
+ ,9370
+ ,3450
+ ,48.65
+ ,3550
+ ,2220
+ ,10090
+ ,3020
+ ,54.35
+ ,3250
+ ,2540
+ ,11130
+ ,3070
+ ,57.52
+ ,2820
+ ,2700
+ ,10530
+ ,3720
+ ,63.98
+ ,2260
+ ,2580
+ ,10490
+ ,3750
+ ,62.91
+ ,2060
+ ,2420
+ ,10570
+ ,3910
+ ,58.54
+ ,2120
+ ,2090
+ ,11170
+ ,4120
+ ,55.24
+ ,2210
+ ,2000
+ ,11610
+ ,4780
+ ,56.86
+ ,2190
+ ,1860
+ ,10920
+ ,3070
+ ,62.99
+ ,2180
+ ,1980
+ ,11570
+ ,4100
+ ,60.21
+ ,2350
+ ,2690
+ ,12960
+ ,3900
+ ,62.06
+ ,2440
+ ,3040
+ ,11190
+ ,3020
+ ,70.26
+ ,2370
+ ,2450
+ ,11920
+ ,3220
+ ,69.78
+ ,2440
+ ,2650
+ ,14930
+ ,4030
+ ,68.56
+ ,2610
+ ,2710
+ ,14520
+ ,4210
+ ,73.67
+ ,3040
+ ,3230
+ ,12970
+ ,4510
+ ,73.23
+ ,3190
+ ,3160
+ ,13870
+ ,4320
+ ,61.96
+ ,3120
+ ,3040
+ ,13250
+ ,3890
+ ,57.81
+ ,3170
+ ,2630
+ ,12760
+ ,7280
+ ,58.76
+ ,3600
+ ,2730
+ ,14050
+ ,9640
+ ,62.47
+ ,3420
+ ,2830
+ ,14660
+ ,5680
+ ,53.68
+ ,3650
+ ,2320
+ ,15010
+ ,6320
+ ,57.56
+ ,4180
+ ,2410
+ ,15020
+ ,5820
+ ,62.05
+ ,2960
+ ,3080
+ ,13090
+ ,4890
+ ,67.49
+ ,2710
+ ,2260
+ ,13190
+ ,3320
+ ,67.21
+ ,2950
+ ,2300
+ ,11390
+ ,2930
+ ,71.05
+ ,3030
+ ,3600
+ ,10110
+ ,3530
+ ,76.93
+ ,3770
+ ,3380
+ ,8240
+ ,3690
+ ,70.76
+ ,4740
+ ,3670
+ ,7920
+ ,3750
+ ,77.17
+ ,4450
+ ,3040
+ ,7700
+ ,3330
+ ,82.34
+ ,5550
+ ,2840
+ ,7920
+ ,4790
+ ,92.41
+ ,5580
+ ,2810
+ ,8130
+ ,5990
+ ,90.93
+ ,5890
+ ,2980
+ ,10510
+ ,5290
+ ,92.18
+ ,7480
+ ,2440
+ ,10230
+ ,5310
+ ,94.99
+ ,10450
+ ,2620
+ ,10940
+ ,4790
+ ,103.64
+ ,6360
+ ,2270
+ ,9230
+ ,3630
+ ,109.07
+ ,6710
+ ,2540
+ ,10320
+ ,2820
+ ,122.8
+ ,6200
+ ,3060
+ ,9590
+ ,2770
+ ,132.32
+ ,4490
+ ,3730
+ ,9980
+ ,2820
+ ,132.72
+ ,3480
+ ,3450
+ ,9630
+ ,3750
+ ,113.24
+ ,2520
+ ,3220
+ ,9520
+ ,3100
+ ,97.23
+ ,1920
+ ,2980
+ ,9150
+ ,4350
+ ,71.58
+ ,2010
+ ,2470
+ ,9490
+ ,4050
+ ,52.45
+ ,1950
+ ,2240
+ ,10090
+ ,6000
+ ,39.95
+ ,2240
+ ,1970
+ ,9570
+ ,10630
+ ,43.44
+ ,2370
+ ,1860
+ ,8870
+ ,3750
+ ,43.32
+ ,2840
+ ,2200
+ ,8270
+ ,3840
+ ,46.54
+ ,2700
+ ,2000
+ ,7530
+ ,4200
+ ,50.18
+ ,2980
+ ,1590
+ ,10240
+ ,2610
+ ,57.3
+ ,3290
+ ,2280
+ ,10590
+ ,2610
+ ,68.61
+ ,3300
+ ,2830
+ ,9440
+ ,2530
+ ,64.44
+ ,3000
+ ,3060
+ ,10620
+ ,3090
+ ,72.51
+ ,2330
+ ,3320
+ ,11470
+ ,4310
+ ,67.65
+ ,2190
+ ,2680
+ ,10680
+ ,4190
+ ,72.77
+ ,1970
+ ,2470
+ ,11130
+ ,3790
+ ,76.66
+ ,2170
+ ,2500
+ ,12390
+ ,3910
+ ,74.46
+ ,2830
+ ,2170
+ ,10920
+ ,4890
+ ,76.17
+ ,3190
+ ,2070
+ ,10320
+ ,4970
+ ,73.75
+ ,3550
+ ,2380
+ ,10810
+ ,5550
+ ,78.83
+ ,3240
+ ,2480
+ ,10280
+ ,4730
+ ,84.82
+ ,3450
+ ,2350
+ ,11790
+ ,4580
+ ,75.95
+ ,3570
+ ,2610
+ ,13290
+ ,2500
+ ,74.76
+ ,3230
+ ,3410
+ ,11740
+ ,2630
+ ,75.58
+ ,3260
+ ,3380
+ ,11320
+ ,4300
+ ,77.04
+ ,2700
+ ,2720
+ ,11930
+ ,3750
+ ,77.84)
+ ,dim=c(5
+ ,69)
+ ,dimnames=list(c('Garnalen'
+ ,'Kabeljauw'
+ ,'Tong'
+ ,'Zeeduivel'
+ ,'Olie')
+ ,1:69))
>  y <- array(NA,dim=c(5,69),dimnames=list(c('Garnalen','Kabeljauw','Tong','Zeeduivel','Olie'),1:69))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par1 = 'kendall'
> 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/1211a1293212480.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] 5
> 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/2510f1293212480.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)

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 2.6111, p-value = 0.009024
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.2156613 

> 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
4: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
5: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
6: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
7: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
8: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
9: In cor.test.default(y[i, ], y[j, ], method = "spearman") :
  Cannot compute exact p-values with ties
10: 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/31byo1293212480.tab") 
> 
> try(system("convert tmp/1211a1293212480.ps tmp/1211a1293212480.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.669   0.270   1.407