R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list('HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'C'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'LO'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'LO'
+ ,'A'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'B'
+ ,'HI'
+ ,'A'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'A'
+ ,'HI'
+ ,'B'
+ ,'LO'
+ ,'C'
+ ,'HI'
+ ,'C'
+ ,'HI'
+ ,'C')
+ ,dim=c(2
+ ,159)
+ ,dimnames=list(c('CAT_STRESS'
+ ,'CAT_ETEN')
+ ,1:159))
>  y <- array(NA,dim=c(2,159),dimnames=list(c('CAT_STRESS','CAT_ETEN'),1:159))
>  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" "B" 
  [2,] "LO" "A" 
  [3,] "HI" "C" 
  [4,] "HI" "C" 
  [5,] "LO" "C" 
  [6,] "LO" "C" 
  [7,] "HI" "A" 
  [8,] "HI" "B" 
  [9,] "LO" "B" 
 [10,] "LO" "A" 
 [11,] "LO" "B" 
 [12,] "LO" "C" 
 [13,] "HI" "A" 
 [14,] "LO" "B" 
 [15,] "LO" "A" 
 [16,] "HI" "A" 
 [17,] "HI" "B" 
 [18,] "LO" "A" 
 [19,] "HI" "B" 
 [20,] "LO" "A" 
 [21,] "LO" "B" 
 [22,] "HI" "C" 
 [23,] "HI" "A" 
 [24,] "HI" "C" 
 [25,] "LO" "A" 
 [26,] "HI" "A" 
 [27,] "LO" "C" 
 [28,] "HI" "B" 
 [29,] "LO" "A" 
 [30,] "HI" "C" 
 [31,] "LO" "A" 
 [32,] "HI" "B" 
 [33,] "LO" "A" 
 [34,] "LO" "A" 
 [35,] "HI" "B" 
 [36,] "LO" "C" 
 [37,] "HI" "C" 
 [38,] "LO" "A" 
 [39,] "LO" "C" 
 [40,] "HI" "B" 
 [41,] "LO" "C" 
 [42,] "LO" "B" 
 [43,] "LO" "B" 
 [44,] "HI" "C" 
 [45,] "HI" "B" 
 [46,] "HI" "B" 
 [47,] "LO" "C" 
 [48,] "LO" "C" 
 [49,] "LO" "C" 
 [50,] "HI" "A" 
 [51,] "LO" "C" 
 [52,] "HI" "B" 
 [53,] "HI" "B" 
 [54,] "HI" "B" 
 [55,] "HI" "C" 
 [56,] "LO" "A" 
 [57,] "LO" "A" 
 [58,] "LO" "B" 
 [59,] "HI" "B" 
 [60,] "HI" "A" 
 [61,] "HI" "C" 
 [62,] "HI" "A" 
 [63,] "HI" "A" 
 [64,] "HI" "B" 
 [65,] "LO" "B" 
 [66,] "HI" "B" 
 [67,] "HI" "A" 
 [68,] "HI" "C" 
 [69,] "LO" "A" 
 [70,] "LO" "A" 
 [71,] "HI" "A" 
 [72,] "LO" "B" 
 [73,] "LO" "A" 
 [74,] "LO" "B" 
 [75,] "HI" "A" 
 [76,] "HI" "B" 
 [77,] "LO" "C" 
 [78,] "HI" "C" 
 [79,] "LO" "A" 
 [80,] "HI" "B" 
 [81,] "LO" "C" 
 [82,] "LO" "B" 
 [83,] "LO" "A" 
 [84,] "LO" "B" 
 [85,] "LO" "C" 
 [86,] "HI" "B" 
 [87,] "LO" "B" 
 [88,] "HI" "B" 
 [89,] "HI" "B" 
 [90,] "HI" "A" 
 [91,] "LO" "A" 
 [92,] "HI" "A" 
 [93,] "LO" "B" 
 [94,] "HI" "C" 
 [95,] "HI" "B" 
 [96,] "LO" "B" 
 [97,] "HI" "A" 
 [98,] "HI" "A" 
 [99,] "LO" "B" 
[100,] "LO" "A" 
[101,] "LO" "A" 
[102,] "HI" "A" 
[103,] "LO" "A" 
[104,] "HI" "A" 
[105,] "LO" "B" 
[106,] "HI" "A" 
[107,] "LO" "A" 
[108,] "LO" "A" 
[109,] "HI" "C" 
[110,] "HI" "A" 
[111,] "LO" "A" 
[112,] "HI" "C" 
[113,] "HI" "B" 
[114,] "HI" "B" 
[115,] "LO" "B" 
[116,] "LO" "A" 
[117,] "HI" "A" 
[118,] "HI" "B" 
[119,] "HI" "A" 
[120,] "HI" "C" 
[121,] "HI" "A" 
[122,] "HI" "A" 
[123,] "LO" "A" 
[124,] "LO" "B" 
[125,] "HI" "A" 
[126,] "LO" "B" 
[127,] "LO" "A" 
[128,] "LO" "C" 
[129,] "LO" "B" 
[130,] "HI" "B" 
[131,] "HI" "B" 
[132,] "LO" "B" 
[133,] "LO" "B" 
[134,] "LO" "B" 
[135,] "LO" "C" 
[136,] "HI" "C" 
[137,] "HI" "A" 
[138,] "HI" "C" 
[139,] "LO" "A" 
[140,] "HI" "B" 
[141,] "LO" "A" 
[142,] "LO" "B" 
[143,] "HI" "B" 
[144,] "LO" "B" 
[145,] "LO" "A" 
[146,] "LO" "B" 
[147,] "HI" "C" 
[148,] "HI" "B" 
[149,] "LO" "B" 
[150,] "HI" "A" 
[151,] "LO" "C" 
[152,] "HI" "A" 
[153,] "HI" "C" 
[154,] "HI" "A" 
[155,] "HI" "A" 
[156,] "HI" "B" 
[157,] "LO" "C" 
[158,] "HI" "C" 
[159,] "HI" "C" 
> (table1 <- table(z[,cat1],z[,cat2]))
    
      A  B  C
  HI 30 31 21
  LO 31 28 18
> (V1<-dimnames(y)[[1]][cat1])
[1] "CAT_STRESS"
> (V2<-dimnames(y)[[1]][cat2])
[1] "CAT_ETEN"
> postscript(file="/var/www/rcomp/tmp/1m9wl1291677920.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/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/28ad81291677920.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 0.2427, df = 2, p-value = 0.8857

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/rcomp/tmp/3m2tz1291677920.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/rcomp/tmp/47k951291677920.tab") 
> 
> try(system("convert tmp/1m9wl1291677920.ps tmp/1m9wl1291677920.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.830   0.250   1.053