R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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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(7
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+ ,10.2
+ ,0.44
+ ,0.88
+ ,6.2
+ ,0.049
+ ,20
+ ,124
+ ,0.9968
+ ,2.99
+ ,0.51
+ ,9.9
+ ,4
+ ,6.8
+ ,0.57
+ ,0.29
+ ,2.2
+ ,0.04
+ ,15
+ ,77
+ ,0.9938
+ ,3.32
+ ,0.74
+ ,10.2
+ ,5
+ ,6.1
+ ,0.4
+ ,0.31
+ ,0.9
+ ,0.048
+ ,23
+ ,170
+ ,0.993
+ ,3.22
+ ,0.77
+ ,9.5
+ ,6
+ ,5.6
+ ,0.245
+ ,0.25
+ ,9.7
+ ,0.032
+ ,12
+ ,68
+ ,0.994
+ ,3.31
+ ,0.34
+ ,10.5
+ ,5
+ ,6.8
+ ,0.18
+ ,0.38
+ ,1.4
+ ,0.038
+ ,35
+ ,111
+ ,0.9918
+ ,3.32
+ ,0.59
+ ,11.2
+ ,7
+ ,7
+ ,0.16
+ ,0.32
+ ,8.3
+ ,0.045
+ ,38
+ ,126
+ ,0.9958
+ ,3.21
+ ,0.34
+ ,9.2
+ ,5
+ ,6.7
+ ,0.13
+ ,0.29
+ ,5.3
+ ,0.051
+ ,31
+ ,122
+ ,0.9944
+ ,3.44
+ ,0.37
+ ,9.7
+ ,6
+ ,6.2
+ ,0.25
+ ,0.25
+ ,1.4
+ ,0.03
+ ,35
+ ,105
+ ,0.9912
+ ,3.3
+ ,0.44
+ ,11.1
+ ,7
+ ,5.8
+ ,0.26
+ ,0.24
+ ,9.2
+ ,0.044
+ ,55
+ ,152
+ ,0.9961
+ ,3.31
+ ,0.38
+ ,9.4
+ ,5
+ ,7.5
+ ,0.27
+ ,0.36
+ ,7
+ ,0.036
+ ,45
+ ,164
+ ,0.9939
+ ,3.03
+ ,0.33
+ ,11
+ ,5
+ ,5.8
+ ,0.26
+ ,0.24
+ ,9.2
+ ,0.044
+ ,55
+ ,152
+ ,0.9961
+ ,3.31
+ ,0.38
+ ,9.4
+ ,5
+ ,5.7
+ ,0.28
+ ,0.24
+ ,17.5
+ ,0.044
+ ,60
+ ,167
+ ,0.9989
+ ,3.31
+ ,0.44
+ ,9.4
+ ,5
+ ,7.5
+ ,0.23
+ ,0.36
+ ,7
+ ,0.036
+ ,43
+ ,161
+ ,0.9938
+ ,3.04
+ ,0.32
+ ,11
+ ,5
+ ,7.5
+ ,0.27
+ ,0.36
+ ,7
+ ,0.036
+ ,45
+ ,164
+ ,0.9939
+ ,3.03
+ ,0.33
+ ,11
+ ,5
+ ,7.2
+ ,0.685
+ ,0.21
+ ,9.5
+ ,0.07
+ ,33
+ ,172
+ ,0.9971
+ ,3
+ ,0.55
+ ,9.1
+ ,6
+ ,6.2
+ ,0.25
+ ,0.25
+ ,1.4
+ ,0.03
+ ,35
+ ,105
+ ,0.9912
+ ,3.3
+ ,0.44
+ ,11.1
+ ,7
+ ,6.5
+ ,0.19
+ ,0.3
+ ,0.8
+ ,0.043
+ ,33
+ ,144
+ ,0.9936
+ ,3.42
+ ,0.39
+ ,9.1
+ ,6
+ ,6.3
+ ,0.495
+ ,0.22
+ ,1.8
+ ,0.046
+ ,31
+ ,140
+ ,0.9929
+ ,3.39
+ ,0.54
+ ,10.4
+ ,6
+ ,7.1
+ ,0.24
+ ,0.41
+ ,17.8
+ ,0.046
+ ,39
+ ,145
+ ,0.9998
+ ,3.32
+ ,0.39
+ ,8.7
+ ,5
+ ,6.4
+ ,0.17
+ ,0.32
+ ,2.4
+ ,0.048
+ ,41
+ ,200
+ ,0.9938
+ ,3.5
+ ,0.5
+ ,9.7
+ ,6
+ ,7.1
+ ,0.25
+ ,0.32
+ ,10.3
+ ,0.041
+ ,66
+ ,272
+ ,0.9969
+ ,3.17
+ ,0.52
+ ,9.1
+ ,6
+ ,6.4
+ ,0.17
+ ,0.32
+ ,2.4
+ ,0.048
+ ,41
+ ,200
+ ,0.9938
+ ,3.5
+ ,0.5
+ ,9.7
+ ,6
+ ,7.1
+ ,0.24
+ ,0.41
+ ,17.8
+ ,0.046
+ ,39
+ ,145
+ ,0.9998
+ ,3.32
+ ,0.39
+ ,8.7
+ ,5
+ ,6.8
+ ,0.64
+ ,0.08
+ ,9.7
+ ,0.062
+ ,26
+ ,142
+ ,0.9972
+ ,3.37
+ ,0.46
+ ,8.9
+ ,4
+ ,8.3
+ ,0.28
+ ,0.4
+ ,7.8
+ ,0.041
+ ,38
+ ,194
+ ,0.9976
+ ,3.34
+ ,0.51
+ ,9.6
+ ,6
+ ,8.2
+ ,0.27
+ ,0.39
+ ,7.8
+ ,0.039
+ ,49
+ ,208
+ ,0.9976
+ ,3.31
+ ,0.51
+ ,9.5
+ ,6
+ ,7.2
+ ,0.23
+ ,0.38
+ ,14.3
+ ,0.058
+ ,55
+ ,194
+ ,0.9979
+ ,3.09
+ ,0.44
+ ,9
+ ,6
+ ,7.2
+ ,0.23
+ ,0.38
+ ,14.3
+ ,0.058
+ ,55
+ ,194
+ ,0.9979
+ ,3.09
+ ,0.44
+ ,9
+ ,6
+ ,7.2
+ ,0.23
+ ,0.38
+ ,14.3
+ ,0.058
+ ,55
+ ,194
+ ,0.9979
+ ,3.09
+ ,0.44
+ ,9
+ ,6
+ ,7.2
+ ,0.23
+ ,0.38
+ ,14.3
+ ,0.058
+ ,55
+ ,194
+ ,0.9979
+ ,3.09
+ ,0.44
+ ,9
+ ,6
+ ,6.8
+ ,0.52
+ ,0.32
+ ,13.2
+ ,0.044
+ ,54
+ ,221
+ ,0.9972
+ ,3.27
+ ,0.5
+ ,9.6
+ ,6
+ ,7
+ ,0.26
+ ,0.59
+ ,1.4
+ ,0.037
+ ,40
+ ,120
+ ,0.9918
+ ,3.34
+ ,0.41
+ ,11.1
+ ,7
+ ,6.2
+ ,0.25
+ ,0.21
+ ,15.55
+ ,0.039
+ ,28
+ ,159
+ ,0.9982
+ ,3.48
+ ,0.64
+ ,9.6
+ ,6
+ ,7.3
+ ,0.32
+ ,0.23
+ ,13.7
+ ,0.05
+ ,49
+ ,197
+ ,0.9985
+ ,3.2
+ ,0.46
+ ,8.7
+ ,5
+ ,7.7
+ ,0.31
+ ,0.26
+ ,7.8
+ ,0.031
+ ,23
+ ,90
+ ,0.9944
+ ,3.13
+ ,0.5
+ ,10.4
+ ,5
+ ,7.1
+ ,0.21
+ ,0.37
+ ,2.4
+ ,0.026
+ ,23
+ ,100
+ ,0.9903
+ ,3.15
+ ,0.38
+ ,11.4
+ ,7
+ ,6.8
+ ,0.24
+ ,0.34
+ ,2.7
+ ,0.047
+ ,64.5
+ ,218.5
+ ,0.9934
+ ,3.3
+ ,0.58
+ ,9.7
+ ,6
+ ,6.9
+ ,0.4
+ ,0.56
+ ,11.2
+ ,0.043
+ ,40
+ ,142
+ ,0.9975
+ ,3.14
+ ,0.46
+ ,8.7
+ ,5
+ ,6.1
+ ,0.18
+ ,0.36
+ ,2
+ ,0.038
+ ,20
+ ,249.5
+ ,0.9923
+ ,3.37
+ ,0.79
+ ,11.3
+ ,6
+ ,6.8
+ ,0.21
+ ,0.27
+ ,2.1
+ ,0.03
+ ,26
+ ,139
+ ,0.99
+ ,3.16
+ ,0.61
+ ,12.6
+ ,7
+ ,5.8
+ ,0.2
+ ,0.27
+ ,1.4
+ ,0.031
+ ,12
+ ,77
+ ,0.9905
+ ,3.25
+ ,0.36
+ ,10.9
+ ,7
+ ,5.6
+ ,0.19
+ ,0.26
+ ,1.4
+ ,0.03
+ ,12
+ ,76
+ ,0.9905
+ ,3.25
+ ,0.37
+ ,10.9
+ ,7
+ ,6.1
+ ,0.41
+ ,0.14
+ ,10.4
+ ,0.037
+ ,18
+ ,119
+ ,0.996
+ ,3.38
+ ,0.45
+ ,10
+ ,5
+ ,5.9
+ ,0.21
+ ,0.28
+ ,4.6
+ ,0.053
+ ,40
+ ,199
+ ,0.9964
+ ,3.72
+ ,0.7
+ ,10
+ ,4
+ ,8.5
+ ,0.26
+ ,0.21
+ ,16.2
+ ,0.074
+ ,41
+ ,197
+ ,0.998
+ ,3.02
+ ,0.5
+ ,9.8
+ ,3
+ ,6.9
+ ,0.4
+ ,0.56
+ ,11.2
+ ,0.043
+ ,40
+ ,142
+ ,0.9975
+ ,3.14
+ ,0.46
+ ,8.7
+ ,5
+ ,5.8
+ ,0.24
+ ,0.44
+ ,3.5
+ ,0.029
+ ,5
+ ,109
+ ,0.9913
+ ,3.53
+ ,0.43
+ ,11.7
+ ,3
+ ,5.8
+ ,0.24
+ ,0.39
+ ,1.5
+ ,0.054
+ ,37
+ ,158
+ ,0.9932
+ ,3.21
+ ,0.52
+ ,9.3
+ ,6
+ ,6.7
+ ,0.26
+ ,0.39
+ ,1.1
+ ,0.04
+ ,45
+ ,147
+ ,0.9935
+ ,3.32
+ ,0.58
+ ,9.6
+ ,8
+ ,6.3
+ ,0.35
+ ,0.3
+ ,5.7
+ ,0.035
+ ,8
+ ,97
+ ,0.9927
+ ,3.27
+ ,0.41
+ ,11
+ ,7
+ ,6.3
+ ,0.35
+ ,0.3
+ ,5.7
+ ,0.035
+ ,8
+ ,97
+ ,0.9927
+ ,3.27
+ ,0.41
+ ,11
+ ,7
+ ,6.4
+ ,0.23
+ ,0.39
+ ,1.8
+ ,0.032
+ ,23
+ ,118
+ ,0.9912
+ ,3.32
+ ,0.5
+ ,11.8
+ ,6
+ ,5.8
+ ,0.36
+ ,0.38
+ ,0.9
+ ,0.037
+ ,3
+ ,75
+ ,0.9904
+ ,3.28
+ ,0.34
+ ,11.4
+ ,4
+ ,6.9
+ ,0.115
+ ,0.35
+ ,5.4
+ ,0.048
+ ,36
+ ,108
+ ,0.9939
+ ,3.32
+ ,0.42
+ ,10.2
+ ,6
+ ,6.9
+ ,0.29
+ ,0.4
+ ,19.45
+ ,0.043
+ ,36
+ ,156
+ ,0.9996
+ ,2.93
+ ,0.47
+ ,8.9
+ ,5
+ ,6.9
+ ,0.28
+ ,0.4
+ ,8.2
+ ,0.036
+ ,15
+ ,95
+ ,0.9944
+ ,3.17
+ ,0.33
+ ,10.2
+ ,5
+ ,7.2
+ ,0.29
+ ,0.4
+ ,13.6
+ ,0.045
+ ,66
+ ,231
+ ,0.9977
+ ,3.08
+ ,0.59
+ ,9.6
+ ,6
+ ,6.2
+ ,0.24
+ ,0.35
+ ,1.2
+ ,0.038
+ ,22
+ ,167
+ ,0.9912
+ ,3.1
+ ,0.48
+ ,10.6
+ ,6
+ ,6.9
+ ,0.29
+ ,0.4
+ ,19.45
+ ,0.043
+ ,36
+ ,156
+ ,0.9996
+ ,2.93
+ ,0.47
+ ,8.9
+ ,5
+ ,6.9
+ ,0.32
+ ,0.26
+ ,8.3
+ ,0.053
+ ,32
+ ,180
+ ,0.9965
+ ,3.25
+ ,0.51
+ ,9.2
+ ,6
+ ,5.3
+ ,0.58
+ ,0.07
+ ,6.9
+ ,0.043
+ ,34
+ ,149
+ ,0.9944
+ ,3.34
+ ,0.57
+ ,9.7
+ ,5
+ ,5.3
+ ,0.585
+ ,0.07
+ ,7.1
+ ,0.044
+ ,34
+ ,145
+ ,0.9945
+ ,3.34
+ ,0.57
+ ,9.7
+ ,6
+ ,5.4
+ ,0.59
+ ,0.07
+ ,7
+ ,0.045
+ ,36
+ ,147
+ ,0.9944
+ ,3.34
+ ,0.57
+ ,9.7
+ ,6
+ ,6.9
+ ,0.32
+ ,0.26
+ ,8.3
+ ,0.053
+ ,32
+ ,180
+ ,0.9965
+ ,3.25
+ ,0.51
+ ,9.2
+ ,6
+ ,5.2
+ ,0.6
+ ,0.07
+ ,7
+ ,0.044
+ ,33
+ ,147
+ ,0.9944
+ ,3.33
+ ,0.58
+ ,9.7
+ ,5
+ ,5.8
+ ,0.25
+ ,0.26
+ ,13.1
+ ,0.051
+ ,44
+ ,148
+ ,0.9972
+ ,3.29
+ ,0.38
+ ,9.3
+ ,5
+ ,6.6
+ ,0.58
+ ,0.3
+ ,5.1
+ ,0.057
+ ,30
+ ,123
+ ,0.9949
+ ,3.24
+ ,0.38
+ ,9
+ ,5
+ ,7
+ ,0.29
+ ,0.54
+ ,10.7
+ ,0.046
+ ,59
+ ,234
+ ,0.9966
+ ,3.05
+ ,0.61
+ ,9.5
+ ,5
+ ,6.6
+ ,0.19
+ ,0.41
+ ,8.9
+ ,0.046
+ ,51
+ ,169
+ ,0.9954
+ ,3.14
+ ,0.57
+ ,9.8
+ ,6
+ ,6.7
+ ,0.2
+ ,0.41
+ ,9.1
+ ,0.044
+ ,50
+ ,166
+ ,0.9954
+ ,3.14
+ ,0.58
+ ,9.8
+ ,6
+ ,7.7
+ ,0.26
+ ,0.4
+ ,1.1
+ ,0.042
+ ,9
+ ,60
+ ,0.9915
+ ,2.89
+ ,0.5
+ ,10.6
+ ,5
+ ,6.8
+ ,0.32
+ ,0.34
+ ,1.2
+ ,0.044
+ ,14
+ ,67
+ ,0.9919
+ ,3.05
+ ,0.47
+ ,10.6
+ ,4
+ ,7
+ ,0.3
+ ,0.49
+ ,4.7
+ ,0.036
+ ,17
+ ,105
+ ,0.9916
+ ,3.26
+ ,0.68
+ ,12.4
+ ,7
+ ,7
+ ,0.24
+ ,0.36
+ ,2.8
+ ,0.034
+ ,22
+ ,112
+ ,0.99
+ ,3.19
+ ,0.38
+ ,12.6
+ ,8
+ ,6.1
+ ,0.31
+ ,0.58
+ ,5
+ ,0.039
+ ,36
+ ,114
+ ,0.9909
+ ,3.3
+ ,0.6
+ ,12.3
+ ,8
+ ,6.8
+ ,0.44
+ ,0.37
+ ,5.1
+ ,0.047
+ ,46
+ ,201
+ ,0.9938
+ ,3.08
+ ,0.65
+ ,10.5
+ ,4
+ ,6.7
+ ,0.34
+ ,0.3
+ ,15.6
+ ,0.054
+ ,51
+ ,196
+ ,0.9982
+ ,3.19
+ ,0.49
+ ,9.3
+ ,5
+ ,7.1
+ ,0.35
+ ,0.24
+ ,15.4
+ ,0.055
+ ,46
+ ,198
+ ,0.9988
+ ,3.12
+ ,0.49
+ ,8.8
+ ,5
+ ,7.3
+ ,0.32
+ ,0.25
+ ,7.2
+ ,0.056
+ ,47
+ ,180
+ ,0.9961
+ ,3.08
+ ,0.47
+ ,8.8
+ ,5
+ ,6.5
+ ,0.28
+ ,0.33
+ ,15.7
+ ,0.053
+ ,51
+ ,190
+ ,0.9978
+ ,3.22
+ ,0.51
+ ,9.7
+ ,6
+ ,7.2
+ ,0.23
+ ,0.39
+ ,14.2
+ ,0.058
+ ,49
+ ,192
+ ,0.9979
+ ,2.98
+ ,0.48
+ ,9
+ ,7
+ ,7.2
+ ,0.23
+ ,0.39
+ ,14.2
+ ,0.058
+ ,49
+ ,192
+ ,0.9979
+ ,2.98
+ ,0.48
+ ,9
+ ,7
+ ,7.2
+ ,0.23
+ ,0.39
+ ,14.2
+ ,0.058
+ ,49
+ ,192
+ ,0.9979
+ ,2.98
+ ,0.48
+ ,9
+ ,7
+ ,7.2
+ ,0.23
+ ,0.39
+ ,14.2
+ ,0.058
+ ,49
+ ,192
+ ,0.9979
+ ,2.98
+ ,0.48
+ ,9
+ ,7
+ ,5.9
+ ,0.15
+ ,0.31
+ ,5.8
+ ,0.041
+ ,53
+ ,155
+ ,0.9945
+ ,3.52
+ ,0.46
+ ,10.5
+ ,6
+ ,7.4
+ ,0.28
+ ,0.42
+ ,19.8
+ ,0.066
+ ,53
+ ,195
+ ,1
+ ,2.96
+ ,0.44
+ ,9.1
+ ,5
+ ,6.2
+ ,0.28
+ ,0.22
+ ,7.3
+ ,0.041
+ ,26
+ ,157
+ ,0.9957
+ ,3.44
+ ,0.64
+ ,9.8
+ ,7
+ ,9.1
+ ,0.59
+ ,0.38
+ ,1.6
+ ,0.066
+ ,34
+ ,182
+ ,0.9968
+ ,3.23
+ ,0.38
+ ,8.5
+ ,3
+ ,6.3
+ ,0.33
+ ,0.27
+ ,1.2
+ ,0.046
+ ,34
+ ,175
+ ,0.9934
+ ,3.37
+ ,0.54
+ ,9.4
+ ,6
+ ,8.3
+ ,0.39
+ ,0.7
+ ,10.6
+ ,0.045
+ ,33
+ ,169
+ ,0.9976
+ ,3.09
+ ,0.57
+ ,9.4
+ ,5
+ ,7.2
+ ,0.19
+ ,0.46
+ ,3.8
+ ,0.041
+ ,82
+ ,187
+ ,0.9932
+ ,3.19
+ ,0.6
+ ,11.2
+ ,7)
+ ,dim=c(12
+ ,298)
+ ,dimnames=list(c('fixedAcidity'
+ ,'volatileAcidity'
+ ,'citricAcid'
+ ,'residualSugar'
+ ,'chlorides'
+ ,'freeSulfurDioxide'
+ ,'totSulfurDioxide'
+ ,'density'
+ ,'pH'
+ ,'sulphates'
+ ,'alcohol'
+ ,'quality')
+ ,1:298))
>  y <- array(NA,dim=c(12,298),dimnames=list(c('fixedAcidity','volatileAcidity','citricAcid','residualSugar','chlorides','freeSulfurDioxide','totSulfurDioxide','density','pH','sulphates','alcohol','quality'),1:298))
>  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'
> 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$counts; y <- y/max(y)
+ rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/1ywwt1323792919.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> n <- length(y[,1])
> n
[1] 12
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (i in 1:n) {
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ }
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
+ for (j in 1:n) {
+ r <- cor.test(y[i,],y[j,],method=par1)
+ a<-table.element(a,round(r$estimate,3))
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2mj411323792919.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 = -1.8961, df = 296, p-value = 0.05892
alternative hypothesis: true correlation is not equal to 0 
95 percent confidence interval:
 -0.220422747  0.004126606 
sample estimates:
       cor 
-0.1095455 

> 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)
+ }
+ }
There were 50 or more warnings (use warnings() to see the first 50)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/3k45w1323792919.tab") 
> 
> try(system("convert tmp/1ywwt1323792919.ps tmp/1ywwt1323792919.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.868   0.224   7.087