R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-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(4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,1
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,2
+ ,'No'
+ ,'Good'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'UsedStats'
+ ,1
+ ,'No'
+ ,'Bad'
+ ,4
+ ,'No'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'Yes'
+ ,'Good'
+ ,4
+ ,'Yes'
+ ,2
+ ,NA
+ ,'NoStats'
+ ,2
+ ,'No'
+ ,'Bad')
+ ,dim=c(8
+ ,86)
+ ,dimnames=list(c('weeks'
+ ,'uselimit'
+ ,'treatment4'
+ ,'treatment2'
+ ,'stats'
+ ,'correctanalysis'
+ ,'useful'
+ ,'outcome')
+ ,1:86))
>  y <- array(NA,dim=c(8,86),dimnames=list(c('weeks','uselimit','treatment4','treatment2','stats','correctanalysis','useful','outcome'),1:86))
>  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 = 'Exact Pearson Chi-Squared by Simulation'
> par2 = '6'
> par1 = '3'
> 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] [,4] [,5]        [,6] [,7]  [,8]  
 [1,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Good"
 [2,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
 [3,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
 [4,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
 [5,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
 [6,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "Yes" "Good"
 [7,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
 [8,] "4"  "No"  "1"  NA   "NoStats"   "2"  "No"  "Bad" 
 [9,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[10,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[11,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Bad" 
[12,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[13,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Bad" 
[14,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Bad" 
[15,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Good"
[16,] "4"  "No"  "1"  NA   "UsedStats" "2"  "Yes" "Good"
[17,] "4"  "Yes" "1"  NA   "UsedStats" "1"  "Yes" "Bad" 
[18,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Bad" 
[19,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[20,] "4"  "No"  "1"  NA   "UsedStats" "1"  "Yes" "Good"
[21,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "Yes" "Bad" 
[22,] "4"  "Yes" "2"  NA   "UsedStats" "2"  "Yes" "Good"
[23,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Good"
[24,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "Yes" "Good"
[25,] "4"  "No"  "1"  NA   "UsedStats" "2"  "No"  "Good"
[26,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Bad" 
[27,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "No"  "Good"
[28,] "4"  "No"  "2"  NA   "UsedStats" "2"  "No"  "Bad" 
[29,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[30,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Bad" 
[31,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[32,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[33,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "Yes" "Bad" 
[34,] "4"  "No"  "1"  NA   "NoStats"   "2"  "No"  "Good"
[35,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[36,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[37,] "4"  "Yes" "1"  NA   "UsedStats" "2"  "Yes" "Bad" 
[38,] "4"  "No"  "2"  NA   "UsedStats" "2"  "No"  "Good"
[39,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Good"
[40,] "4"  "No"  "1"  NA   "NoStats"   "2"  "Yes" "Bad" 
[41,] "4"  "No"  "2"  NA   "UsedStats" "1"  "Yes" "Good"
[42,] "4"  "No"  "2"  NA   "UsedStats" "2"  "No"  "Good"
[43,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "Yes" "Good"
[44,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Bad" 
[45,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Bad" 
[46,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Good"
[47,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[48,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[49,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Good"
[50,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[51,] "4"  "No"  "1"  NA   "UsedStats" "2"  "No"  "Bad" 
[52,] "4"  "Yes" "1"  NA   "UsedStats" "1"  "Yes" "Bad" 
[53,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[54,] "4"  "No"  "2"  NA   "UsedStats" "1"  "No"  "Bad" 
[55,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[56,] "4"  "No"  "1"  NA   "UsedStats" "2"  "No"  "Good"
[57,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Good"
[58,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[59,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[60,] "4"  "Yes" "1"  NA   "UsedStats" "1"  "Yes" "Good"
[61,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Good"
[62,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Bad" 
[63,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[64,] "4"  "Yes" "1"  NA   "NoStats"   "2"  "No"  "Good"
[65,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[66,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[67,] "4"  "No"  "1"  NA   "UsedStats" "1"  "Yes" "Bad" 
[68,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[69,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[70,] "4"  "No"  "2"  NA   "UsedStats" "2"  "No"  "Bad" 
[71,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[72,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[73,] "4"  "No"  "2"  NA   "UsedStats" "2"  "No"  "Good"
[74,] "4"  "Yes" "2"  NA   "UsedStats" "2"  "No"  "Bad" 
[75,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[76,] "4"  "No"  "1"  NA   "NoStats"   "2"  "Yes" "Good"
[77,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Good"
[78,] "4"  "No"  "2"  NA   "UsedStats" "2"  "Yes" "Good"
[79,] "4"  "No"  "1"  NA   "UsedStats" "1"  "No"  "Good"
[80,] "4"  "No"  "1"  NA   "NoStats"   "2"  "Yes" "Bad" 
[81,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[82,] "4"  "Yes" "2"  NA   "UsedStats" "2"  "No"  "Good"
[83,] "4"  "No"  "2"  NA   "NoStats"   "2"  "No"  "Bad" 
[84,] "4"  "No"  "2"  NA   "UsedStats" "1"  "No"  "Bad" 
[85,] "4"  "No"  "2"  NA   "NoStats"   "2"  "Yes" "Good"
[86,] "4"  "Yes" "2"  NA   "NoStats"   "2"  "No"  "Bad" 
> (table1 <- table(z[,cat1],z[,cat2]))
   
     1  2
  1  6 17
  2  3 60
> (V1<-dimnames(y)[[1]][cat1])
[1] "treatment4"
> (V2<-dimnames(y)[[1]][cat2])
[1] "correctanalysis"
> postscript(file="/var/wessaorg/rcomp/tmp/1lt6b1356017686.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/2kbyk1356017686.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test with simulated p-value (based on 2000
	replicates)

data:  table1 
X-squared = 8.1774, df = NA, p-value = 0.01449

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3knuk1356017686.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/wessaorg/rcomp/tmp/4k4x01356017686.tab") 
> 
> try(system("convert tmp/1lt6b1356017686.ps tmp/1lt6b1356017686.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.653   0.272   1.901