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('C','C','C','C','A','A','C','D','B','B','B','B','C','D','D','D','B','C','B','B','B','B','C','C','B','B','B','C','A','A','B','C','B','B','A','B','B','B','C','C','B','B','A','A','A','A','C','B','B','A','A','A','A','A','A','A','A','A','A','A','A','A','C','B','A','A','A','A','D','C','D','D','D','D','D','D','D','D','D','D','D','D','D','D','D','D','D','D','C','C','C','C','C','D','D','C','D','C','D','D','B','B','C','B','C','B','A','A','B','C'),dim=c(2,55),dimnames=list(c('Uitvoer','Invoer'),1:55))
>  y <- array(NA,dim=c(2,55),dimnames=list(c('Uitvoer','Invoer'),1:55))
>  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)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = 'Exact Pearson Chi-Squared by Simulation'
> par2 = '2'
> par1 = '1'
> ylab = ''
> xlab = ''
> main = ''
> #'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,] "C"  "C" 
 [2,] "C"  "C" 
 [3,] "A"  "A" 
 [4,] "C"  "D" 
 [5,] "B"  "B" 
 [6,] "B"  "B" 
 [7,] "C"  "D" 
 [8,] "D"  "D" 
 [9,] "B"  "C" 
[10,] "B"  "B" 
[11,] "B"  "B" 
[12,] "C"  "C" 
[13,] "B"  "B" 
[14,] "B"  "C" 
[15,] "A"  "A" 
[16,] "B"  "C" 
[17,] "B"  "B" 
[18,] "A"  "B" 
[19,] "B"  "B" 
[20,] "C"  "C" 
[21,] "B"  "B" 
[22,] "A"  "A" 
[23,] "A"  "A" 
[24,] "C"  "B" 
[25,] "B"  "A" 
[26,] "A"  "A" 
[27,] "A"  "A" 
[28,] "A"  "A" 
[29,] "A"  "A" 
[30,] "A"  "A" 
[31,] "A"  "A" 
[32,] "C"  "B" 
[33,] "A"  "A" 
[34,] "A"  "A" 
[35,] "D"  "C" 
[36,] "D"  "D" 
[37,] "D"  "D" 
[38,] "D"  "D" 
[39,] "D"  "D" 
[40,] "D"  "D" 
[41,] "D"  "D" 
[42,] "D"  "D" 
[43,] "D"  "D" 
[44,] "D"  "D" 
[45,] "C"  "C" 
[46,] "C"  "C" 
[47,] "C"  "D" 
[48,] "D"  "C" 
[49,] "D"  "C" 
[50,] "D"  "D" 
[51,] "B"  "B" 
[52,] "C"  "B" 
[53,] "C"  "B" 
[54,] "A"  "A" 
[55,] "B"  "C" 
> (table1 <- table(z[,cat1],z[,cat2]))
   
     A  B  C  D
  A 13  1  0  0
  B  1  9  4  0
  C  0  4  6  3
  D  0  0  3 11
> (V1<-dimnames(y)[[1]][cat1])
[1] "Uitvoer"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Invoer"
> postscript(file="/var/www/rcomp/tmp/1yfnl1291754813.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/2cp3c1291754813.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 = 76.4942, df = NA, p-value = 0.0004998

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/rcomp/tmp/3f72i1291754813.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/4jpio1291754813.tab") 
> 
> try(system("convert tmp/1yfnl1291754813.ps tmp/1yfnl1291754813.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.790   0.250   1.057