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'
+ ,'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'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected'
+ ,'LO'
+ ,'Connected'
+ ,'HI'
+ ,'Connected')
+ ,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" "Happiness"
  [2,] "HI" "Happiness"
  [3,] "LO" "Happiness"
  [4,] "LO" "Happiness"
  [5,] "HI" "Happiness"
  [6,] "HI" "Happiness"
  [7,] "HI" "Happiness"
  [8,] "HI" "Happiness"
  [9,] "HI" "Happiness"
 [10,] "HI" "Happiness"
 [11,] "HI" "Happiness"
 [12,] "HI" "Happiness"
 [13,] "LO" "Happiness"
 [14,] "HI" "Happiness"
 [15,] "HI" "Happiness"
 [16,] "HI" "Happiness"
 [17,] "HI" "Happiness"
 [18,] "HI" "Happiness"
 [19,] "HI" "Happiness"
 [20,] "HI" "Happiness"
 [21,] "HI" "Happiness"
 [22,] "LO" "Happiness"
 [23,] "HI" "Happiness"
 [24,] "LO" "Happiness"
 [25,] "HI" "Happiness"
 [26,] "LO" "Happiness"
 [27,] "HI" "Happiness"
 [28,] "HI" "Happiness"
 [29,] "HI" "Happiness"
 [30,] "LO" "Happiness"
 [31,] "HI" "Happiness"
 [32,] "LO" "Happiness"
 [33,] "HI" "Happiness"
 [34,] "HI" "Happiness"
 [35,] "HI" "Happiness"
 [36,] "HI" "Happiness"
 [37,] "LO" "Happiness"
 [38,] "HI" "Happiness"
 [39,] "HI" "Happiness"
 [40,] "LO" "Happiness"
 [41,] "HI" "Happiness"
 [42,] "HI" "Happiness"
 [43,] "HI" "Happiness"
 [44,] "LO" "Happiness"
 [45,] "LO" "Happiness"
 [46,] "LO" "Happiness"
 [47,] "HI" "Happiness"
 [48,] "HI" "Happiness"
 [49,] "HI" "Happiness"
 [50,] "LO" "Happiness"
 [51,] "HI" "Happiness"
 [52,] "HI" "Happiness"
 [53,] "LO" "Happiness"
 [54,] "LO" "Happiness"
 [55,] "LO" "Happiness"
 [56,] "HI" "Happiness"
 [57,] "HI" "Happiness"
 [58,] "HI" "Happiness"
 [59,] "LO" "Happiness"
 [60,] "LO" "Happiness"
 [61,] "LO" "Happiness"
 [62,] "LO" "Happiness"
 [63,] "LO" "Happiness"
 [64,] "HI" "Happiness"
 [65,] "HI" "Happiness"
 [66,] "LO" "Happiness"
 [67,] "LO" "Happiness"
 [68,] "LO" "Happiness"
 [69,] "HI" "Happiness"
 [70,] "HI" "Happiness"
 [71,] "HI" "Happiness"
 [72,] "HI" "Happiness"
 [73,] "HI" "Happiness"
 [74,] "HI" "Happiness"
 [75,] "LO" "Happiness"
 [76,] "LO" "Happiness"
 [77,] "HI" "Happiness"
 [78,] "LO" "Happiness"
 [79,] "HI" "Happiness"
 [80,] "LO" "Happiness"
 [81,] "HI" "Happiness"
 [82,] "HI" "Happiness"
 [83,] "HI" "Happiness"
 [84,] "HI" "Happiness"
 [85,] "HI" "Happiness"
 [86,] "HI" "Happiness"
 [87,] "HI" "Happiness"
 [88,] "HI" "Happiness"
 [89,] "LO" "Happiness"
 [90,] "LO" "Happiness"
 [91,] "HI" "Happiness"
 [92,] "LO" "Happiness"
 [93,] "HI" "Happiness"
 [94,] "HI" "Happiness"
 [95,] "LO" "Happiness"
 [96,] "HI" "Happiness"
 [97,] "LO" "Happiness"
 [98,] "HI" "Happiness"
 [99,] "HI" "Happiness"
[100,] "HI" "Happiness"
[101,] "HI" "Happiness"
[102,] "LO" "Happiness"
[103,] "HI" "Happiness"
[104,] "LO" "Happiness"
[105,] "HI" "Happiness"
[106,] "LO" "Happiness"
[107,] "HI" "Happiness"
[108,] "HI" "Happiness"
[109,] "LO" "Happiness"
[110,] "LO" "Happiness"
[111,] "HI" "Happiness"
[112,] "LO" "Happiness"
[113,] "LO" "Happiness"
[114,] "HI" "Happiness"
[115,] "HI" "Happiness"
[116,] "HI" "Happiness"
[117,] "HI" "Happiness"
[118,] "HI" "Happiness"
[119,] "HI" "Happiness"
[120,] "HI" "Happiness"
[121,] "LO" "Happiness"
[122,] "HI" "Happiness"
[123,] "HI" "Happiness"
[124,] "HI" "Happiness"
[125,] "HI" "Happiness"
[126,] "LO" "Happiness"
[127,] "HI" "Happiness"
[128,] "HI" "Happiness"
[129,] "HI" "Happiness"
[130,] "HI" "Happiness"
[131,] "LO" "Happiness"
[132,] "LO" "Happiness"
[133,] "HI" "Happiness"
[134,] "HI" "Happiness"
[135,] "HI" "Happiness"
[136,] "HI" "Happiness"
[137,] "LO" "Happiness"
[138,] "HI" "Happiness"
[139,] "LO" "Happiness"
[140,] "HI" "Happiness"
[141,] "LO" "Happiness"
[142,] "HI" "Happiness"
[143,] "HI" "Happiness"
[144,] "HI" "Happiness"
[145,] "HI" "Happiness"
[146,] "HI" "Happiness"
[147,] "HI" "Happiness"
[148,] "LO" "Happiness"
[149,] "LO" "Happiness"
[150,] "LO" "Happiness"
[151,] "HI" "Happiness"
[152,] "LO" "Happiness"
[153,] "HI" "Happiness"
[154,] "LO" "Happiness"
[155,] "LO" "Happiness"
[156,] "LO" "Happiness"
[157,] "LO" "Happiness"
[158,] "HI" "Happiness"
[159,] "HI" "Happiness"
[160,] "LO" "Happiness"
[161,] "LO" "Happiness"
[162,] "LO" "Happiness"
[163,] "HI" "Connected"
[164,] "HI" "Connected"
[165,] "LO" "Connected"
[166,] "LO" "Connected"
[167,] "HI" "Connected"
[168,] "HI" "Connected"
[169,] "HI" "Connected"
[170,] "HI" "Connected"
[171,] "HI" "Connected"
[172,] "HI" "Connected"
[173,] "HI" "Connected"
[174,] "HI" "Connected"
[175,] "HI" "Connected"
[176,] "HI" "Connected"
[177,] "LO" "Connected"
[178,] "LO" "Connected"
[179,] "HI" "Connected"
[180,] "HI" "Connected"
[181,] "HI" "Connected"
[182,] "LO" "Connected"
[183,] "LO" "Connected"
[184,] "LO" "Connected"
[185,] "HI" "Connected"
[186,] "HI" "Connected"
[187,] "HI" "Connected"
[188,] "HI" "Connected"
[189,] "HI" "Connected"
[190,] "LO" "Connected"
[191,] "LO" "Connected"
[192,] "HI" "Connected"
[193,] "LO" "Connected"
[194,] "LO" "Connected"
[195,] "HI" "Connected"
[196,] "HI" "Connected"
[197,] "HI" "Connected"
[198,] "LO" "Connected"
[199,] "LO" "Connected"
[200,] "HI" "Connected"
[201,] "LO" "Connected"
[202,] "HI" "Connected"
[203,] "HI" "Connected"
[204,] "HI" "Connected"
[205,] "HI" "Connected"
[206,] "HI" "Connected"
[207,] "HI" "Connected"
[208,] "HI" "Connected"
[209,] "HI" "Connected"
[210,] "LO" "Connected"
[211,] "HI" "Connected"
[212,] "HI" "Connected"
[213,] "LO" "Connected"
[214,] "LO" "Connected"
[215,] "LO" "Connected"
[216,] "HI" "Connected"
[217,] "LO" "Connected"
[218,] "HI" "Connected"
[219,] "HI" "Connected"
[220,] "LO" "Connected"
[221,] "HI" "Connected"
[222,] "HI" "Connected"
[223,] "LO" "Connected"
[224,] "HI" "Connected"
[225,] "HI" "Connected"
[226,] "LO" "Connected"
[227,] "HI" "Connected"
[228,] "HI" "Connected"
[229,] "HI" "Connected"
[230,] "LO" "Connected"
[231,] "HI" "Connected"
[232,] "HI" "Connected"
[233,] "HI" "Connected"
[234,] "LO" "Connected"
[235,] "HI" "Connected"
[236,] "HI" "Connected"
[237,] "HI" "Connected"
[238,] "HI" "Connected"
[239,] "HI" "Connected"
[240,] "HI" "Connected"
[241,] "LO" "Connected"
[242,] "HI" "Connected"
[243,] "LO" "Connected"
[244,] "HI" "Connected"
[245,] "HI" "Connected"
[246,] "HI" "Connected"
[247,] "LO" "Connected"
[248,] "LO" "Connected"
[249,] "HI" "Connected"
[250,] "LO" "Connected"
[251,] "LO" "Connected"
[252,] "LO" "Connected"
[253,] "LO" "Connected"
[254,] "HI" "Connected"
[255,] "HI" "Connected"
[256,] "LO" "Connected"
[257,] "LO" "Connected"
[258,] "HI" "Connected"
[259,] "HI" "Connected"
[260,] "HI" "Connected"
[261,] "HI" "Connected"
[262,] "LO" "Connected"
[263,] "HI" "Connected"
[264,] "HI" "Connected"
[265,] "HI" "Connected"
[266,] "LO" "Connected"
[267,] "LO" "Connected"
[268,] "HI" "Connected"
[269,] "HI" "Connected"
[270,] "HI" "Connected"
[271,] "HI" "Connected"
[272,] "HI" "Connected"
[273,] "LO" "Connected"
[274,] "LO" "Connected"
[275,] "LO" "Connected"
[276,] "LO" "Connected"
[277,] "HI" "Connected"
[278,] "HI" "Connected"
[279,] "LO" "Connected"
[280,] "HI" "Connected"
[281,] "LO" "Connected"
[282,] "HI" "Connected"
[283,] "LO" "Connected"
[284,] "LO" "Connected"
[285,] "HI" "Connected"
[286,] "HI" "Connected"
[287,] "LO" "Connected"
[288,] "LO" "Connected"
[289,] "HI" "Connected"
[290,] "HI" "Connected"
[291,] "LO" "Connected"
[292,] "HI" "Connected"
[293,] "LO" "Connected"
[294,] "LO" "Connected"
[295,] "HI" "Connected"
[296,] "LO" "Connected"
[297,] "HI" "Connected"
[298,] "LO" "Connected"
[299,] "LO" "Connected"
[300,] "HI" "Connected"
[301,] "LO" "Connected"
[302,] "HI" "Connected"
[303,] "LO" "Connected"
[304,] "LO" "Connected"
[305,] "LO" "Connected"
[306,] "LO" "Connected"
[307,] "LO" "Connected"
[308,] "HI" "Connected"
[309,] "LO" "Connected"
[310,] "HI" "Connected"
[311,] "LO" "Connected"
[312,] "HI" "Connected"
[313,] "HI" "Connected"
[314,] "HI" "Connected"
[315,] "HI" "Connected"
[316,] "HI" "Connected"
[317,] "HI" "Connected"
[318,] "LO" "Connected"
[319,] "HI" "Connected"
[320,] "LO" "Connected"
[321,] "LO" "Connected"
[322,] "HI" "Connected"
[323,] "LO" "Connected"
[324,] "HI" "Connected"
> (table1 <- table(z[,cat1],z[,cat2]))
    
     Connected Happiness
  HI        97       103
  LO        65        59
> (V1<-dimnames(y)[[1]][cat1])
[1] "Score"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Construct\r"
> postscript(file="/var/www/html/freestat/rcomp/tmp/1beoh1289464575.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/2ex5n1289464575.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

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

data:  table1 
X-squared = 0.3266, df = 1, p-value = 0.5677

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/freestat/rcomp/tmp/3hx3b1289464575.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/43g2y1289464575.tab") 
> 
> try(system("convert tmp/1beoh1289464575.ps tmp/1beoh1289464575.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.572   0.241   1.641