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.
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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
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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(105.31
+ ,1576.23
+ ,29.29
+ ,710.45
+ ,105.63
+ ,1546.37
+ ,28.99
+ ,720
+ ,106.02
+ ,1545.05
+ ,28.91
+ ,720
+ ,105.85
+ ,1552.34
+ ,29.29
+ ,720
+ ,106.57
+ ,1594.3
+ ,30.96
+ ,754.78
+ ,106.48
+ ,1605.78
+ ,30.57
+ ,802.73
+ ,106.60
+ ,1673.21
+ ,30.59
+ ,845.24
+ ,106.75
+ ,1612.94
+ ,31.39
+ ,893.91
+ ,106.69
+ ,1566.34
+ ,31.28
+ ,931.43
+ ,106.69
+ ,1530.17
+ ,31.1
+ ,940
+ ,106.93
+ ,1582.54
+ ,31.7
+ ,947.73
+ ,107.21
+ ,1702.16
+ ,32.57
+ ,960
+ ,107.88
+ ,1701.93
+ ,32.49
+ ,996.96
+ ,108.84
+ ,1811.15
+ ,32.46
+ ,1000
+ ,108.96
+ ,1924.2
+ ,32.3
+ ,1000
+ ,109.52
+ ,2034.25
+ ,32.97
+ ,1000
+ ,108.45
+ ,2011.13
+ ,32.9
+ ,1013.04
+ ,108.67
+ ,2013.04
+ ,32.93
+ ,1095.24
+ ,108.96
+ ,2151.67
+ ,33.72
+ ,1159.09
+ ,108.76
+ ,1902.09
+ ,33.33
+ ,1200
+ ,107.85
+ ,1944.01
+ ,33.44
+ ,1200
+ ,108.78
+ ,1916.67
+ ,33.89
+ ,1282.61
+ ,107.51
+ ,1967.31
+ ,34.34
+ ,1513.64
+ ,108.83
+ ,2119.88
+ ,33.56
+ ,1669.05
+ ,111.54
+ ,2216.38
+ ,32.67
+ ,1700
+ ,111.74
+ ,2522.83
+ ,32.57
+ ,1700
+ ,112.04
+ ,2647.64
+ ,33.23
+ ,1700
+ ,111.74
+ ,2631.23
+ ,32.85
+ ,1665.91
+ ,111.81
+ ,2693.41
+ ,32.61
+ ,1650
+ ,111.86
+ ,3021.76
+ ,32.57
+ ,1650
+ ,114.23
+ ,2953.67
+ ,32.98
+ ,1619.57
+ ,114.80
+ ,2796.8
+ ,31.33
+ ,1599.05
+ ,115.17
+ ,2672.05
+ ,29.8
+ ,1572.73
+ ,115.11
+ ,2251.23
+ ,28.06
+ ,1470
+ ,114.43
+ ,2046.08
+ ,25.47
+ ,1268
+ ,114.66
+ ,2420.04
+ ,24.65
+ ,1217.39
+ ,115.11
+ ,2608.89
+ ,23.94
+ ,1154.09
+ ,117.74
+ ,2660.47
+ ,23.89
+ ,984
+ ,118.18
+ ,2493.98
+ ,23.54
+ ,900
+ ,118.56
+ ,2541.7
+ ,24.28
+ ,900
+ ,117.63
+ ,2554.6
+ ,25.51
+ ,916.67
+ ,117.71
+ ,2699.61
+ ,27.03
+ ,957.73
+ ,117.46
+ ,2805.48
+ ,27.09
+ ,966.09
+ ,117.37
+ ,2956.66
+ ,27.3
+ ,980
+ ,117.34
+ ,3149.51
+ ,27.11
+ ,990.91
+ ,117.09
+ ,3372.5
+ ,26.39
+ ,1000.91
+ ,116.65
+ ,3379.33
+ ,27.54
+ ,1042.38
+ ,116.71
+ ,3517.54
+ ,26.85
+ ,1142.61
+ ,116.82
+ ,3527.34
+ ,26.82
+ ,1214.29
+ ,117.33
+ ,3281.06
+ ,25.9
+ ,1218
+ ,117.95
+ ,3089.65
+ ,24.96
+ ,1202.61
+ ,123.53
+ ,3222.76
+ ,25.4
+ ,1200
+ ,124.91
+ ,3165.76
+ ,24.38
+ ,1228.57
+ ,125.99
+ ,3232.43
+ ,24.73
+ ,1195.91
+ ,126.29
+ ,3229.54
+ ,25.43
+ ,1180
+ ,125.68
+ ,3071.74
+ ,26.04
+ ,1210.91
+ ,125.52
+ ,2850.17
+ ,25.59
+ ,1272.27)
+ ,dim=c(4
+ ,57)
+ ,dimnames=list(c('PC&S'
+ ,'PCacao'
+ ,'PSuiker'
+ ,'PNoten')
+ ,1:57))
>  y <- array(NA,dim=c(4,57),dimnames=list(c('PC&S','PCacao','PSuiker','PNoten'),1:57))
>  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/19ind1292929165.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] 4
> 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/25ak31292929165.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 = 7.5867, p-value = 3.286e-14
alternative hypothesis: true tau is not equal to 0 
sample estimates:
      tau 
0.6913431 

> 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
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3jkiv1292929165.tab") 
> try(system("convert tmp/19ind1292929165.ps tmp/19ind1292929165.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.535   0.199   1.229