R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

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(10723.8
+ ,3142.7
+ ,10414.9
+ ,3983.4
+ ,13938.9
+ ,3884.3
+ ,12476.8
+ ,4152.9
+ ,13979.8
+ ,3892.2
+ ,12384.6
+ ,4286.1
+ ,13807.4
+ ,3613
+ ,12266.7
+ ,4348.1
+ ,12973.9
+ ,3730.5
+ ,12919.9
+ ,3949.3
+ ,12509.8
+ ,3481.3
+ ,11497.3
+ ,4166.7
+ ,12934.1
+ ,3649.5
+ ,12142
+ ,4217.9
+ ,14908.3
+ ,4215.2
+ ,13919.4
+ ,4528.2
+ ,13772.1
+ ,4066.6
+ ,12656.8
+ ,4232.2
+ ,13012.6
+ ,4196.8
+ ,12034.1
+ ,4470.9
+ ,14049.9
+ ,4536.6
+ ,13199.7
+ ,5121.2
+ ,11816.5
+ ,4441.6
+ ,10881.3
+ ,4170.8
+ ,11593.2
+ ,3548.3
+ ,11301.2
+ ,4398.6
+ ,14466.2
+ ,4735.9
+ ,13643.9
+ ,4491.4
+ ,13615.9
+ ,4130.6
+ ,12517
+ ,4251.8
+ ,14733.9
+ ,4356.2
+ ,13981.1
+ ,4901.9
+ ,13880.7
+ ,4159.6
+ ,14275.7
+ ,4745.2
+ ,13527.5
+ ,3988
+ ,13435
+ ,4666.9
+ ,13584
+ ,4167.8
+ ,13565.7
+ ,4210.4
+ ,16170.2
+ ,4902.2
+ ,16216.3
+ ,5273.6
+ ,13260.6
+ ,3909.4
+ ,12970
+ ,4095.3
+ ,14741.9
+ ,4697.6
+ ,14079.9
+ ,4610.1
+ ,15486.5
+ ,4308.9
+ ,14235
+ ,4718.1
+ ,13154.5
+ ,4420.4
+ ,12213.4
+ ,4185.5
+ ,12621.2
+ ,3544.2
+ ,12581
+ ,4314.7
+ ,15031.6
+ ,4433
+ ,14130.4
+ ,4422.6
+ ,15452.4
+ ,4479.7
+ ,14210.8
+ ,5059.2
+ ,15428
+ ,4533.2
+ ,14378.5
+ ,5043.6
+ ,13105.9
+ ,4237.5
+ ,13142.8
+ ,4436.6
+ ,14716.8
+ ,4207.4
+ ,13714.7
+ ,4922.6
+ ,14180
+ ,4394
+ ,13621.9
+ ,4454.8
+ ,16202.2
+ ,5148.4
+ ,15379.8
+ ,5058.7
+ ,14392.4
+ ,4202.2
+ ,13306.3
+ ,4768.9
+ ,15140.6
+ ,4682.5
+ ,14391.2
+ ,5171.8
+ ,15960.1
+ ,4884.3
+ ,14909.9
+ ,4989.3
+ ,14351.3
+ ,5288.9
+ ,14025.4
+ ,5202.1
+ ,13230.2
+ ,4505.2
+ ,12951.2
+ ,4838.4
+ ,15202.1
+ ,4611.5
+ ,14344.3
+ ,4876.5
+ ,17056
+ ,5104
+ ,16093.4
+ ,5875.5
+ ,16077.7
+ ,4586.6
+ ,15413.6
+ ,5717.9
+ ,13348.2
+ ,4529.3
+ ,14705.7
+ ,4778.8
+ ,16402.4
+ ,4504.1
+ ,15972.8
+ ,6195.9
+ ,16559.1
+ ,4604.9
+ ,16241.4
+ ,4625.4
+ ,16579
+ ,4795.4
+ ,16626.4
+ ,5549.8
+ ,17561.2
+ ,5391.1
+ ,17136.2
+ ,6397.6
+ ,16129.6
+ ,5213.9
+ ,15622.9
+ ,5856.7
+ ,18484.3
+ ,5415
+ ,18003.9
+ ,6343.8
+ ,16402.6
+ ,5990.3
+ ,16136.1
+ ,6615.5
+ ,14032.3
+ ,4241.8
+ ,14423.7
+ ,5904.6
+ ,17109.1
+ ,5677.6
+ ,16789.4
+ ,6861
+ ,17157.2
+ ,5164.2
+ ,16782.2
+ ,6553.5
+ ,13879.8
+ ,3962.3
+ ,14133.8
+ ,5481
+ ,12362.4
+ ,4011
+ ,12607
+ ,5435.3
+ ,12683.5
+ ,3310.3
+ ,12004.5
+ ,5278
+ ,12608.8
+ ,3837.3
+ ,12175.4
+ ,4671.8
+ ,13583.7
+ ,4145.3
+ ,13268
+ ,4891.5
+ ,12846.3
+ ,3796.7
+ ,12299.3
+ ,4241.6
+ ,12347.1
+ ,3849.6
+ ,11800.6
+ ,4152.1
+ ,13967
+ ,4285
+ ,13873.3
+ ,4484.4
+ ,13114.3
+ ,4189.6
+ ,12269.6
+ ,4124.7)
+ ,dim=c(4
+ ,60)
+ ,dimnames=list(c('Uit_IEU'
+ ,'Uit_EEU'
+ ,'In_IEU'
+ ,'In_EEU')
+ ,1:60))
>  y <- array(NA,dim=c(4,60),dimnames=list(c('Uit_IEU','Uit_EEU','In_IEU','In_EEU'),1:60))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> main = 'Kendall tau Correlation Plot'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
+ {
+ usr <- par('usr'); on.exit(par(usr))
+ par(usr = c(0, 1, 0, 1))
+ rr <- cor.test(x, y, method='kendall')
+ r <- round(rr$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/1x7wk1258211266.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")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'pair',1,TRUE)
> a<-table.element(a,'tau',1,TRUE)
> a<-table.element(a,'p-value',1,TRUE)
> a<-table.row.end(a)
> n <- length(y[,1])
> n
[1] 4
> cor.test(y[1,],y[2,],method='kendall')

	Kendall's rank correlation tau

data:  y[1, ] and y[2, ] 
z = 7.2071, p-value = 5.718e-13
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6384181 

> for (i in 1:(n-1))
+ {
+ for (j in (i+1):n)
+ {
+ a<-table.row.start(a)
+ dum <- paste('tau(',dimnames(t(x))[[2]][i])
+ dum <- paste(dum,',')
+ dum <- paste(dum,dimnames(t(x))[[2]][j])
+ dum <- paste(dum,')')
+ a<-table.element(a,dum,header=TRUE)
+ r <- cor.test(y[i,],y[j,],method='kendall')
+ a<-table.element(a,r$estimate)
+ a<-table.element(a,r$p.value)
+ a<-table.row.end(a)
+ }
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/2xjim1258211266.tab") 
> 
> system("convert tmp/1x7wk1258211266.ps tmp/1x7wk1258211266.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.485   0.204   0.604