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)

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.

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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('A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Female'
+ ,'D'
+ ,'Seperate'
+ ,'Female'
+ ,'C'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Female'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'D'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'A'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'C'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Seperate'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Female'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Female'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'B'
+ ,'Happiness'
+ ,'Male'
+ ,'A'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male'
+ ,'D'
+ ,'Happiness'
+ ,'Male'
+ ,'C'
+ ,'Happiness'
+ ,'Male')
+ ,dim=c(3
+ ,324)
+ ,dimnames=list(c('Score'
+ ,'Treatment'
+ ,'Gender')
+ ,1:324))
>  y <- array(NA,dim=c(3,324),dimnames=list(c('Score','Treatment','Gender'),1:324))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 50 or more warnings (use warnings() to see the first 50)
> par3 = 'Pearson Chi-Squared'
> par2 = '2'
> par1 = '1'
> main = 'Association Plot'
> library(vcd)
Loading required package: MASS
Loading required package: grid
Loading required package: colorspace
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> simulate.p.value=FALSE
> if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE
> x <- t(x)
> (z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
       [,1] [,2]        [,3]    
  [1,] "A"  "Seperate"  "Male"  
  [2,] "C"  "Seperate"  "Male"  
  [3,] "B"  "Seperate"  "Male"  
  [4,] "C"  "Seperate"  "Female"
  [5,] "A"  "Seperate"  "Male"  
  [6,] "D"  "Seperate"  "Male"  
  [7,] "D"  "Seperate"  "Male"  
  [8,] "B"  "Seperate"  "Male"  
  [9,] "B"  "Seperate"  "Male"  
 [10,] "A"  "Seperate"  "Male"  
 [11,] "D"  "Seperate"  "Female"
 [12,] "B"  "Seperate"  "Male"  
 [13,] "B"  "Seperate"  "Female"
 [14,] "A"  "Seperate"  "Male"  
 [15,] "A"  "Seperate"  "Male"  
 [16,] "C"  "Seperate"  "Female"
 [17,] "C"  "Seperate"  "Female"
 [18,] "A"  "Seperate"  "Male"  
 [19,] "A"  "Seperate"  "Female"
 [20,] "C"  "Seperate"  "Male"  
 [21,] "C"  "Seperate"  "Female"
 [22,] "D"  "Seperate"  "Male"  
 [23,] "A"  "Seperate"  "Male"  
 [24,] "A"  "Seperate"  "Male"  
 [25,] "C"  "Seperate"  "Female"
 [26,] "C"  "Seperate"  "Male"  
 [27,] "B"  "Seperate"  "Female"
 [28,] "A"  "Seperate"  "Male"  
 [29,] "C"  "Seperate"  "Male"  
 [30,] "C"  "Seperate"  "Female"
 [31,] "D"  "Seperate"  "Male"  
 [32,] "C"  "Seperate"  "Female"
 [33,] "D"  "Seperate"  "Male"  
 [34,] "A"  "Seperate"  "Male"  
 [35,] "D"  "Seperate"  "Female"
 [36,] "C"  "Seperate"  "Female"
 [37,] "D"  "Seperate"  "Female"
 [38,] "C"  "Seperate"  "Female"
 [39,] "D"  "Seperate"  "Male"  
 [40,] "C"  "Seperate"  "Female"
 [41,] "C"  "Seperate"  "Female"
 [42,] "C"  "Seperate"  "Male"  
 [43,] "C"  "Seperate"  "Female"
 [44,] "C"  "Seperate"  "Female"
 [45,] "D"  "Seperate"  "Male"  
 [46,] "B"  "Seperate"  "Male"  
 [47,] "A"  "Seperate"  "Male"  
 [48,] "B"  "Seperate"  "Male"  
 [49,] "A"  "Seperate"  "Male"  
 [50,] "C"  "Seperate"  "Female"
 [51,] "A"  "Seperate"  "Male"  
 [52,] "D"  "Seperate"  "Female"
 [53,] "C"  "Seperate"  "Female"
 [54,] "A"  "Seperate"  "Male"  
 [55,] "C"  "Seperate"  "Female"
 [56,] "C"  "Seperate"  "Male"  
 [57,] "B"  "Seperate"  "Male"  
 [58,] "B"  "Seperate"  "Male"  
 [59,] "B"  "Seperate"  "Female"
 [60,] "B"  "Seperate"  "Male"  
 [61,] "D"  "Seperate"  "Female"
 [62,] "B"  "Seperate"  "Female"
 [63,] "B"  "Seperate"  "Male"  
 [64,] "B"  "Seperate"  "Male"  
 [65,] "D"  "Seperate"  "Male"  
 [66,] "A"  "Seperate"  "Female"
 [67,] "B"  "Seperate"  "Male"  
 [68,] "D"  "Seperate"  "Female"
 [69,] "A"  "Seperate"  "Male"  
 [70,] "A"  "Seperate"  "Female"
 [71,] "B"  "Seperate"  "Female"
 [72,] "A"  "Seperate"  "Male"  
 [73,] "A"  "Seperate"  "Male"  
 [74,] "A"  "Seperate"  "Female"
 [75,] "D"  "Seperate"  "Female"
 [76,] "D"  "Seperate"  "Male"  
 [77,] "A"  "Seperate"  "Male"  
 [78,] "D"  "Seperate"  "Male"  
 [79,] "D"  "Seperate"  "Female"
 [80,] "D"  "Seperate"  "Female"
 [81,] "B"  "Seperate"  "Female"
 [82,] "A"  "Seperate"  "Female"
 [83,] "A"  "Seperate"  "Male"  
 [84,] "C"  "Seperate"  "Female"
 [85,] "B"  "Seperate"  "Male"  
 [86,] "D"  "Seperate"  "Male"  
 [87,] "A"  "Seperate"  "Female"
 [88,] "B"  "Seperate"  "Male"  
 [89,] "C"  "Seperate"  "Male"  
 [90,] "C"  "Seperate"  "Male"  
 [91,] "B"  "Seperate"  "Male"  
 [92,] "C"  "Seperate"  "Male"  
 [93,] "A"  "Seperate"  "Male"  
 [94,] "D"  "Seperate"  "Male"  
 [95,] "D"  "Seperate"  "Male"  
 [96,] "B"  "Seperate"  "Male"  
 [97,] "B"  "Seperate"  "Male"  
 [98,] "D"  "Seperate"  "Male"  
 [99,] "B"  "Seperate"  "Female"
[100,] "B"  "Seperate"  "Female"
[101,] "B"  "Seperate"  "Male"  
[102,] "B"  "Seperate"  "Female"
[103,] "A"  "Seperate"  "Male"  
[104,] "D"  "Seperate"  "Female"
[105,] "A"  "Seperate"  "Male"  
[106,] "C"  "Seperate"  "Female"
[107,] "B"  "Seperate"  "Male"  
[108,] "A"  "Seperate"  "Female"
[109,] "B"  "Seperate"  "Female"
[110,] "A"  "Seperate"  "Male"  
[111,] "B"  "Seperate"  "Male"  
[112,] "C"  "Seperate"  "Male"  
[113,] "A"  "Seperate"  "Male"  
[114,] "C"  "Seperate"  "Female"
[115,] "B"  "Seperate"  "Male"  
[116,] "C"  "Seperate"  "Female"
[117,] "A"  "Seperate"  "Male"  
[118,] "A"  "Seperate"  "Male"  
[119,] "B"  "Seperate"  "Male"  
[120,] "B"  "Seperate"  "Male"  
[121,] "A"  "Seperate"  "Male"  
[122,] "D"  "Seperate"  "Male"  
[123,] "A"  "Seperate"  "Male"  
[124,] "A"  "Seperate"  "Male"  
[125,] "D"  "Seperate"  "Male"  
[126,] "C"  "Seperate"  "Male"  
[127,] "C"  "Seperate"  "Female"
[128,] "A"  "Seperate"  "Male"  
[129,] "B"  "Seperate"  "Male"  
[130,] "C"  "Seperate"  "Male"  
[131,] "C"  "Seperate"  "Female"
[132,] "C"  "Seperate"  "Female"
[133,] "A"  "Seperate"  "Male"  
[134,] "D"  "Seperate"  "Female"
[135,] "A"  "Seperate"  "Female"
[136,] "D"  "Seperate"  "Male"  
[137,] "D"  "Seperate"  "Female"
[138,] "B"  "Seperate"  "Female"
[139,] "B"  "Seperate"  "Male"  
[140,] "B"  "Seperate"  "Male"  
[141,] "B"  "Seperate"  "Female"
[142,] "B"  "Seperate"  "Male"  
[143,] "B"  "Seperate"  "Female"
[144,] "B"  "Seperate"  "Male"  
[145,] "D"  "Seperate"  "Female"
[146,] "D"  "Seperate"  "Male"  
[147,] "D"  "Seperate"  "Male"  
[148,] "B"  "Seperate"  "Female"
[149,] "D"  "Seperate"  "Female"
[150,] "C"  "Seperate"  "Female"
[151,] "A"  "Seperate"  "Male"  
[152,] "A"  "Seperate"  "Male"  
[153,] "A"  "Seperate"  "Female"
[154,] "A"  "Seperate"  "Male"  
[155,] "B"  "Seperate"  "Male"  
[156,] "D"  "Seperate"  "Male"  
[157,] "C"  "Seperate"  "Male"  
[158,] "A"  "Seperate"  "Male"  
[159,] "B"  "Seperate"  "Male"  
[160,] "C"  "Seperate"  "Male"  
[161,] "B"  "Seperate"  "Male"  
[162,] "B"  "Seperate"  "Male"  
[163,] "B"  "Happiness" "Male"  
[164,] "A"  "Happiness" "Male"  
[165,] "D"  "Happiness" "Male"  
[166,] "D"  "Happiness" "Female"
[167,] "A"  "Happiness" "Male"  
[168,] "A"  "Happiness" "Male"  
[169,] "B"  "Happiness" "Male"  
[170,] "B"  "Happiness" "Male"  
[171,] "B"  "Happiness" "Male"  
[172,] "B"  "Happiness" "Male"  
[173,] "A"  "Happiness" "Female"
[174,] "A"  "Happiness" "Male"  
[175,] "D"  "Happiness" "Female"
[176,] "A"  "Happiness" "Male"  
[177,] "A"  "Happiness" "Male"  
[178,] "B"  "Happiness" "Female"
[179,] "B"  "Happiness" "Female"
[180,] "A"  "Happiness" "Male"  
[181,] "B"  "Happiness" "Female"
[182,] "A"  "Happiness" "Male"  
[183,] "A"  "Happiness" "Female"
[184,] "D"  "Happiness" "Male"  
[185,] "B"  "Happiness" "Male"  
[186,] "D"  "Happiness" "Male"  
[187,] "A"  "Happiness" "Female"
[188,] "D"  "Happiness" "Male"  
[189,] "A"  "Happiness" "Female"
[190,] "B"  "Happiness" "Male"  
[191,] "B"  "Happiness" "Male"  
[192,] "D"  "Happiness" "Female"
[193,] "A"  "Happiness" "Male"  
[194,] "C"  "Happiness" "Female"
[195,] "A"  "Happiness" "Male"  
[196,] "B"  "Happiness" "Male"  
[197,] "B"  "Happiness" "Female"
[198,] "A"  "Happiness" "Female"
[199,] "D"  "Happiness" "Female"
[200,] "B"  "Happiness" "Female"
[201,] "A"  "Happiness" "Male"  
[202,] "C"  "Happiness" "Female"
[203,] "B"  "Happiness" "Female"
[204,] "A"  "Happiness" "Male"  
[205,] "A"  "Happiness" "Female"
[206,] "D"  "Happiness" "Female"
[207,] "D"  "Happiness" "Male"  
[208,] "D"  "Happiness" "Male"  
[209,] "B"  "Happiness" "Male"  
[210,] "B"  "Happiness" "Male"  
[211,] "A"  "Happiness" "Male"  
[212,] "C"  "Happiness" "Female"
[213,] "A"  "Happiness" "Male"  
[214,] "B"  "Happiness" "Female"
[215,] "D"  "Happiness" "Female"
[216,] "D"  "Happiness" "Male"  
[217,] "D"  "Happiness" "Female"
[218,] "B"  "Happiness" "Male"  
[219,] "A"  "Happiness" "Male"  
[220,] "B"  "Happiness" "Male"  
[221,] "D"  "Happiness" "Female"
[222,] "D"  "Happiness" "Male"  
[223,] "D"  "Happiness" "Female"
[224,] "C"  "Happiness" "Female"
[225,] "D"  "Happiness" "Male"  
[226,] "B"  "Happiness" "Male"  
[227,] "B"  "Happiness" "Male"  
[228,] "D"  "Happiness" "Female"
[229,] "D"  "Happiness" "Male"  
[230,] "D"  "Happiness" "Female"
[231,] "B"  "Happiness" "Male"  
[232,] "B"  "Happiness" "Female"
[233,] "B"  "Happiness" "Female"
[234,] "A"  "Happiness" "Male"  
[235,] "B"  "Happiness" "Male"  
[236,] "B"  "Happiness" "Female"
[237,] "C"  "Happiness" "Female"
[238,] "D"  "Happiness" "Male"  
[239,] "A"  "Happiness" "Male"  
[240,] "C"  "Happiness" "Male"  
[241,] "B"  "Happiness" "Female"
[242,] "C"  "Happiness" "Female"
[243,] "B"  "Happiness" "Female"
[244,] "A"  "Happiness" "Female"
[245,] "B"  "Happiness" "Male"  
[246,] "A"  "Happiness" "Female"
[247,] "B"  "Happiness" "Male"  
[248,] "B"  "Happiness" "Male"  
[249,] "B"  "Happiness" "Female"
[250,] "B"  "Happiness" "Male"  
[251,] "C"  "Happiness" "Male"  
[252,] "D"  "Happiness" "Male"  
[253,] "A"  "Happiness" "Male"  
[254,] "C"  "Happiness" "Male"  
[255,] "B"  "Happiness" "Male"  
[256,] "B"  "Happiness" "Male"  
[257,] "C"  "Happiness" "Male"  
[258,] "A"  "Happiness" "Male"  
[259,] "D"  "Happiness" "Male"  
[260,] "B"  "Happiness" "Male"  
[261,] "A"  "Happiness" "Female"
[262,] "B"  "Happiness" "Female"
[263,] "A"  "Happiness" "Male"  
[264,] "D"  "Happiness" "Female"
[265,] "A"  "Happiness" "Male"  
[266,] "D"  "Happiness" "Female"
[267,] "B"  "Happiness" "Male"  
[268,] "D"  "Happiness" "Female"
[269,] "A"  "Happiness" "Male"  
[270,] "B"  "Happiness" "Female"
[271,] "D"  "Happiness" "Female"
[272,] "D"  "Happiness" "Male"  
[273,] "B"  "Happiness" "Male"  
[274,] "D"  "Happiness" "Male"  
[275,] "C"  "Happiness" "Male"  
[276,] "B"  "Happiness" "Female"
[277,] "A"  "Happiness" "Male"  
[278,] "A"  "Happiness" "Female"
[279,] "B"  "Happiness" "Male"  
[280,] "B"  "Happiness" "Male"  
[281,] "B"  "Happiness" "Male"  
[282,] "B"  "Happiness" "Male"  
[283,] "D"  "Happiness" "Male"  
[284,] "B"  "Happiness" "Male"  
[285,] "B"  "Happiness" "Male"  
[286,] "B"  "Happiness" "Male"  
[287,] "B"  "Happiness" "Male"  
[288,] "C"  "Happiness" "Male"  
[289,] "A"  "Happiness" "Female"
[290,] "A"  "Happiness" "Male"  
[291,] "A"  "Happiness" "Male"  
[292,] "B"  "Happiness" "Male"  
[293,] "C"  "Happiness" "Female"
[294,] "D"  "Happiness" "Female"
[295,] "B"  "Happiness" "Male"  
[296,] "B"  "Happiness" "Female"
[297,] "B"  "Happiness" "Female"
[298,] "A"  "Happiness" "Male"  
[299,] "D"  "Happiness" "Female"
[300,] "B"  "Happiness" "Female"
[301,] "D"  "Happiness" "Male"  
[302,] "B"  "Happiness" "Male"  
[303,] "C"  "Happiness" "Female"
[304,] "B"  "Happiness" "Male"  
[305,] "A"  "Happiness" "Female"
[306,] "B"  "Happiness" "Male"  
[307,] "B"  "Happiness" "Female"
[308,] "A"  "Happiness" "Male"  
[309,] "A"  "Happiness" "Male"  
[310,] "D"  "Happiness" "Female"
[311,] "D"  "Happiness" "Female"
[312,] "D"  "Happiness" "Female"
[313,] "A"  "Happiness" "Male"  
[314,] "C"  "Happiness" "Male"  
[315,] "A"  "Happiness" "Female"
[316,] "D"  "Happiness" "Male"  
[317,] "D"  "Happiness" "Male"  
[318,] "C"  "Happiness" "Male"  
[319,] "C"  "Happiness" "Male"  
[320,] "B"  "Happiness" "Male"  
[321,] "A"  "Happiness" "Male"  
[322,] "C"  "Happiness" "Male"  
[323,] "D"  "Happiness" "Male"  
[324,] "C"  "Happiness" "Male"  
> (table1 <- table(z[,cat1],z[,cat2]))
   
    Happiness Seperate
  A        43       44
  B        60       46
  C        19       38
  D        40       34
> (V1<-dimnames(y)[[1]][cat1])
[1] "Score"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Treatment"
> postscript(file="/var/wessaorg/rcomp/tmp/18bvm1321102217.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T)
> 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")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, ' ', 1,TRUE)
> for(nc in 1:ncol(table1)){
+ a<-table.element(a, colnames(table1)[nc], 1, TRUE)
+ }
> a<-table.row.end(a)
> for(nr in 1:nrow(table1) ){
+ a<-table.element(a, rownames(table1)[nr], 1, TRUE)
+ for(nc in 1:ncol(table1) ){
+ a<-table.element(a, table1[nr, nc], 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2zzu71321102217.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 8.6804, df = 3, p-value = 0.03386

> if (par3 == 'McNemar Chi-Squared') {
+ (cst <- mcnemar.test(table1))
+ }
> if (par3=='Fisher Exact Test') {
+ (cst <- fisher.test(table1))
+ }
> if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a, ' ', 1,TRUE)
+ for(nc in 1:ncol(table1)){
+ a<-table.element(a, colnames(table1)[nc], 1, TRUE)
+ }
+ a<-table.row.end(a)
+ for(nr in 1:nrow(table1) ){
+ a<-table.element(a, rownames(table1)[nr], 1, TRUE)
+ for(nc in 1:ncol(table1) ){
+ a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3xcar1321102217.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$method, 2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
> if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
> if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
> if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
> if (par3=='Fisher Exact Test') {
+ if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
+ a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
+ } else {
+ a<-table.element(a, '--', 1,FALSE)
+ }
+ } else {
+ a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
+ }
> a<-table.row.end(a)
> if(!simulate.p.value){
+ if(par3!='Fisher Exact Test') {
+ a<-table.row.start(a)
+ a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
+ a<-table.element(a, cst$parameter, 1,FALSE)
+ a<-table.row.end(a)
+ }
+ }
> a<-table.row.start(a)
> a<-table.element(a, 'P value', 1, TRUE)
> a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4wyl71321102217.tab") 
> 
> try(system("convert tmp/18bvm1321102217.ps tmp/18bvm1321102217.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.466   0.093   1.571