R version 2.8.0 (2008-10-20)
Copyright (C) 2008 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.

  Natural language support but running in an English locale

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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
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Type 'q()' to quit R.

> x <- array(list('HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'LO'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Separate'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'HI'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness'
+ ,'LO'
+ ,'Happiness')
+ ,dim=c(2
+ ,324)
+ ,dimnames=list(c('Score'
+ ,'Construct
')
+ ,1:324))
>  y <- array(NA,dim=c(2,324),dimnames=list(c('Score','Construct
'),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'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, 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: 
> #Technical description: 
> 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]       
  [1,] "HI" "Separate" 
  [2,] "LO" "Separate" 
  [3,] "HI" "Separate" 
  [4,] "LO" "Separate" 
  [5,] "HI" "Separate" 
  [6,] "LO" "Separate" 
  [7,] "LO" "Separate" 
  [8,] "HI" "Separate" 
  [9,] "HI" "Separate" 
 [10,] "HI" "Separate" 
 [11,] "LO" "Separate" 
 [12,] "HI" "Separate" 
 [13,] "HI" "Separate" 
 [14,] "HI" "Separate" 
 [15,] "HI" "Separate" 
 [16,] "LO" "Separate" 
 [17,] "LO" "Separate" 
 [18,] "HI" "Separate" 
 [19,] "HI" "Separate" 
 [20,] "LO" "Separate" 
 [21,] "LO" "Separate" 
 [22,] "LO" "Separate" 
 [23,] "HI" "Separate" 
 [24,] "HI" "Separate" 
 [25,] "LO" "Separate" 
 [26,] "LO" "Separate" 
 [27,] "HI" "Separate" 
 [28,] "HI" "Separate" 
 [29,] "LO" "Separate" 
 [30,] "LO" "Separate" 
 [31,] "LO" "Separate" 
 [32,] "LO" "Separate" 
 [33,] "LO" "Separate" 
 [34,] "HI" "Separate" 
 [35,] "LO" "Separate" 
 [36,] "LO" "Separate" 
 [37,] "LO" "Separate" 
 [38,] "LO" "Separate" 
 [39,] "LO" "Separate" 
 [40,] "LO" "Separate" 
 [41,] "LO" "Separate" 
 [42,] "LO" "Separate" 
 [43,] "LO" "Separate" 
 [44,] "LO" "Separate" 
 [45,] "LO" "Separate" 
 [46,] "HI" "Separate" 
 [47,] "HI" "Separate" 
 [48,] "HI" "Separate" 
 [49,] "HI" "Separate" 
 [50,] "LO" "Separate" 
 [51,] "HI" "Separate" 
 [52,] "LO" "Separate" 
 [53,] "LO" "Separate" 
 [54,] "HI" "Separate" 
 [55,] "LO" "Separate" 
 [56,] "LO" "Separate" 
 [57,] "HI" "Separate" 
 [58,] "HI" "Separate" 
 [59,] "HI" "Separate" 
 [60,] "HI" "Separate" 
 [61,] "LO" "Separate" 
 [62,] "HI" "Separate" 
 [63,] "HI" "Separate" 
 [64,] "HI" "Separate" 
 [65,] "LO" "Separate" 
 [66,] "HI" "Separate" 
 [67,] "HI" "Separate" 
 [68,] "LO" "Separate" 
 [69,] "HI" "Separate" 
 [70,] "HI" "Separate" 
 [71,] "HI" "Separate" 
 [72,] "HI" "Separate" 
 [73,] "HI" "Separate" 
 [74,] "HI" "Separate" 
 [75,] "LO" "Separate" 
 [76,] "LO" "Separate" 
 [77,] "HI" "Separate" 
 [78,] "LO" "Separate" 
 [79,] "LO" "Separate" 
 [80,] "LO" "Separate" 
 [81,] "HI" "Separate" 
 [82,] "HI" "Separate" 
 [83,] "HI" "Separate" 
 [84,] "LO" "Separate" 
 [85,] "HI" "Separate" 
 [86,] "LO" "Separate" 
 [87,] "HI" "Separate" 
 [88,] "HI" "Separate" 
 [89,] "LO" "Separate" 
 [90,] "LO" "Separate" 
 [91,] "HI" "Separate" 
 [92,] "LO" "Separate" 
 [93,] "HI" "Separate" 
 [94,] "LO" "Separate" 
 [95,] "LO" "Separate" 
 [96,] "HI" "Separate" 
 [97,] "HI" "Separate" 
 [98,] "LO" "Separate" 
 [99,] "HI" "Separate" 
[100,] "HI" "Separate" 
[101,] "HI" "Separate" 
[102,] "HI" "Separate" 
[103,] "HI" "Separate" 
[104,] "LO" "Separate" 
[105,] "HI" "Separate" 
[106,] "LO" "Separate" 
[107,] "HI" "Separate" 
[108,] "HI" "Separate" 
[109,] "HI" "Separate" 
[110,] "HI" "Separate" 
[111,] "HI" "Separate" 
[112,] "LO" "Separate" 
[113,] "HI" "Separate" 
[114,] "LO" "Separate" 
[115,] "HI" "Separate" 
[116,] "LO" "Separate" 
[117,] "HI" "Separate" 
[118,] "HI" "Separate" 
[119,] "HI" "Separate" 
[120,] "HI" "Separate" 
[121,] "HI" "Separate" 
[122,] "LO" "Separate" 
[123,] "HI" "Separate" 
[124,] "HI" "Separate" 
[125,] "LO" "Separate" 
[126,] "LO" "Separate" 
[127,] "LO" "Separate" 
[128,] "HI" "Separate" 
[129,] "HI" "Separate" 
[130,] "LO" "Separate" 
[131,] "LO" "Separate" 
[132,] "LO" "Separate" 
[133,] "HI" "Separate" 
[134,] "LO" "Separate" 
[135,] "HI" "Separate" 
[136,] "LO" "Separate" 
[137,] "LO" "Separate" 
[138,] "HI" "Separate" 
[139,] "HI" "Separate" 
[140,] "HI" "Separate" 
[141,] "HI" "Separate" 
[142,] "HI" "Separate" 
[143,] "HI" "Separate" 
[144,] "HI" "Separate" 
[145,] "LO" "Separate" 
[146,] "LO" "Separate" 
[147,] "LO" "Separate" 
[148,] "HI" "Separate" 
[149,] "LO" "Separate" 
[150,] "LO" "Separate" 
[151,] "HI" "Separate" 
[152,] "HI" "Separate" 
[153,] "HI" "Separate" 
[154,] "HI" "Separate" 
[155,] "HI" "Separate" 
[156,] "LO" "Separate" 
[157,] "LO" "Separate" 
[158,] "HI" "Separate" 
[159,] "HI" "Separate" 
[160,] "LO" "Separate" 
[161,] "HI" "Separate" 
[162,] "HI" "Separate" 
[163,] "HI" "Happiness"
[164,] "HI" "Happiness"
[165,] "LO" "Happiness"
[166,] "LO" "Happiness"
[167,] "HI" "Happiness"
[168,] "HI" "Happiness"
[169,] "HI" "Happiness"
[170,] "HI" "Happiness"
[171,] "HI" "Happiness"
[172,] "HI" "Happiness"
[173,] "HI" "Happiness"
[174,] "HI" "Happiness"
[175,] "LO" "Happiness"
[176,] "HI" "Happiness"
[177,] "HI" "Happiness"
[178,] "HI" "Happiness"
[179,] "HI" "Happiness"
[180,] "HI" "Happiness"
[181,] "HI" "Happiness"
[182,] "HI" "Happiness"
[183,] "HI" "Happiness"
[184,] "LO" "Happiness"
[185,] "HI" "Happiness"
[186,] "LO" "Happiness"
[187,] "HI" "Happiness"
[188,] "LO" "Happiness"
[189,] "HI" "Happiness"
[190,] "HI" "Happiness"
[191,] "HI" "Happiness"
[192,] "LO" "Happiness"
[193,] "HI" "Happiness"
[194,] "LO" "Happiness"
[195,] "HI" "Happiness"
[196,] "HI" "Happiness"
[197,] "HI" "Happiness"
[198,] "HI" "Happiness"
[199,] "LO" "Happiness"
[200,] "HI" "Happiness"
[201,] "HI" "Happiness"
[202,] "LO" "Happiness"
[203,] "HI" "Happiness"
[204,] "HI" "Happiness"
[205,] "HI" "Happiness"
[206,] "LO" "Happiness"
[207,] "LO" "Happiness"
[208,] "LO" "Happiness"
[209,] "HI" "Happiness"
[210,] "HI" "Happiness"
[211,] "HI" "Happiness"
[212,] "LO" "Happiness"
[213,] "HI" "Happiness"
[214,] "HI" "Happiness"
[215,] "LO" "Happiness"
[216,] "LO" "Happiness"
[217,] "LO" "Happiness"
[218,] "HI" "Happiness"
[219,] "HI" "Happiness"
[220,] "HI" "Happiness"
[221,] "LO" "Happiness"
[222,] "LO" "Happiness"
[223,] "LO" "Happiness"
[224,] "LO" "Happiness"
[225,] "LO" "Happiness"
[226,] "HI" "Happiness"
[227,] "HI" "Happiness"
[228,] "LO" "Happiness"
[229,] "LO" "Happiness"
[230,] "LO" "Happiness"
[231,] "HI" "Happiness"
[232,] "HI" "Happiness"
[233,] "HI" "Happiness"
[234,] "HI" "Happiness"
[235,] "HI" "Happiness"
[236,] "HI" "Happiness"
[237,] "LO" "Happiness"
[238,] "LO" "Happiness"
[239,] "HI" "Happiness"
[240,] "LO" "Happiness"
[241,] "HI" "Happiness"
[242,] "LO" "Happiness"
[243,] "HI" "Happiness"
[244,] "HI" "Happiness"
[245,] "HI" "Happiness"
[246,] "HI" "Happiness"
[247,] "HI" "Happiness"
[248,] "HI" "Happiness"
[249,] "HI" "Happiness"
[250,] "HI" "Happiness"
[251,] "LO" "Happiness"
[252,] "LO" "Happiness"
[253,] "HI" "Happiness"
[254,] "LO" "Happiness"
[255,] "HI" "Happiness"
[256,] "HI" "Happiness"
[257,] "LO" "Happiness"
[258,] "HI" "Happiness"
[259,] "LO" "Happiness"
[260,] "HI" "Happiness"
[261,] "HI" "Happiness"
[262,] "HI" "Happiness"
[263,] "HI" "Happiness"
[264,] "LO" "Happiness"
[265,] "HI" "Happiness"
[266,] "LO" "Happiness"
[267,] "HI" "Happiness"
[268,] "LO" "Happiness"
[269,] "HI" "Happiness"
[270,] "HI" "Happiness"
[271,] "LO" "Happiness"
[272,] "LO" "Happiness"
[273,] "HI" "Happiness"
[274,] "LO" "Happiness"
[275,] "LO" "Happiness"
[276,] "HI" "Happiness"
[277,] "HI" "Happiness"
[278,] "HI" "Happiness"
[279,] "HI" "Happiness"
[280,] "HI" "Happiness"
[281,] "HI" "Happiness"
[282,] "HI" "Happiness"
[283,] "LO" "Happiness"
[284,] "HI" "Happiness"
[285,] "HI" "Happiness"
[286,] "HI" "Happiness"
[287,] "HI" "Happiness"
[288,] "LO" "Happiness"
[289,] "HI" "Happiness"
[290,] "HI" "Happiness"
[291,] "HI" "Happiness"
[292,] "HI" "Happiness"
[293,] "LO" "Happiness"
[294,] "LO" "Happiness"
[295,] "HI" "Happiness"
[296,] "HI" "Happiness"
[297,] "HI" "Happiness"
[298,] "HI" "Happiness"
[299,] "LO" "Happiness"
[300,] "HI" "Happiness"
[301,] "LO" "Happiness"
[302,] "HI" "Happiness"
[303,] "LO" "Happiness"
[304,] "HI" "Happiness"
[305,] "HI" "Happiness"
[306,] "HI" "Happiness"
[307,] "HI" "Happiness"
[308,] "HI" "Happiness"
[309,] "HI" "Happiness"
[310,] "LO" "Happiness"
[311,] "LO" "Happiness"
[312,] "LO" "Happiness"
[313,] "HI" "Happiness"
[314,] "LO" "Happiness"
[315,] "HI" "Happiness"
[316,] "LO" "Happiness"
[317,] "LO" "Happiness"
[318,] "LO" "Happiness"
[319,] "LO" "Happiness"
[320,] "HI" "Happiness"
[321,] "HI" "Happiness"
[322,] "LO" "Happiness"
[323,] "LO" "Happiness"
[324,] "LO" "Happiness"
> (table1 <- table(z[,cat1],z[,cat2]))
    
     Happiness Separate
  HI       103       90
  LO        59       72
> (V1<-dimnames(y)[[1]][cat1])
[1] "Score"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Construct\r"
> postscript(file="/var/www/html/freestat/rcomp/tmp/1afxh1289464754.ps",horizontal=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)
Warning message:
In grid.Call.graphics("L_text", as.graphicsAnnot(x$label), x$x,  :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/www/html/freestat/rcomp/tmp/2egdn1289464754.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test with Yates' continuity correction

data:  table1 
X-squared = 1.8454, df = 1, p-value = 0.1743

> if (par3 == 'McNemar Chi-Squared') {
+ (cst <- mcnemar.test(table1))
+ }
> if (par3 != 'McNemar Chi-Squared') {
+ 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/freestat/rcomp/tmp/3hycb1289464754.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$method, 2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Chi Square Statistic', 1, TRUE)
> a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
> a<-table.row.end(a)
> if(!simulate.p.value){
+ a<-table.row.start(a)
+ a<-table.element(a, 'Degrees of Freedom', 1, TRUE)
+ a<-table.element(a, cst$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/www/html/freestat/rcomp/tmp/4khsz1289464754.tab") 
> 
> try(system("convert tmp/1afxh1289464754.ps tmp/1afxh1289464754.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.563   0.236   1.618