R version 3.4.4 (2018-03-15) -- "Someone to Lean On"
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> source('/home/pw/wessanet/cretab')
> 
> 
> 
> myrfcuid = 'q1204881-2018'
> 
> x <- array(list('man',"'bach'",'vrouw',"'bach'",'man',"'bach'",'vrouw',"'bach'",'man',"'bach'",'vrouw',"'bach'",'man',"'bach'",'vrouw',"'bach'",'man',"'bach'",'vrouw',"'bach'",'man',"'scha'",'vrouw',"'scha'",'man',"'scha'",'vrouw',"'scha'",'man',"'scha'",'vrouw',"'scha'",'man',"'scha'",'vrouw',"'scha'",'man',"'scha'",'vrouw',"'scha'"),dim=c(2,20),dimnames=list(c('GeslachtLabel','GroepLabel'),1:20))
>  y <- array(NA,dim=c(2,20),dimnames=list(c('GeslachtLabel','GroepLabel'),1:20))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 40 warnings (use warnings() to see them)
> par3 = 'Exact Pearson Chi-Squared by Simulation'
> par2 = '2'
> par1 = '1'
> main = 'Association Plot'
> par3 <- 'Exact Pearson Chi-Squared by Simulation'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Thu, 22 Sep 2016 16:59:07 +0200)
> #Author: root
> #To cite this work: Wessa P. (2016), Chi-Squared Test, McNemar Test, and Fisher Exact Test (v1.0.9) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_chi_squared_tests.wasp/
> #Source of accompanying publication: 
> #
> library(vcd)
Loading required package: grid
> 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,] "man"   "'bach'"
 [2,] "vrouw" "'bach'"
 [3,] "man"   "'bach'"
 [4,] "vrouw" "'bach'"
 [5,] "man"   "'bach'"
 [6,] "vrouw" "'bach'"
 [7,] "man"   "'bach'"
 [8,] "vrouw" "'bach'"
 [9,] "man"   "'bach'"
[10,] "vrouw" "'bach'"
[11,] "man"   "'scha'"
[12,] "vrouw" "'scha'"
[13,] "man"   "'scha'"
[14,] "vrouw" "'scha'"
[15,] "man"   "'scha'"
[16,] "vrouw" "'scha'"
[17,] "man"   "'scha'"
[18,] "vrouw" "'scha'"
[19,] "man"   "'scha'"
[20,] "vrouw" "'scha'"
> (table1 <- table(z[,cat1],z[,cat2]))
       
        'bach' 'scha'
  man        5      5
  vrouw      5      5
> (V1<-dimnames(y)[[1]][cat1])
[1] "GeslachtLabel"
> (V2<-dimnames(y)[[1]][cat2])
[1] "GroepLabel"
> postscript(file="/home/pw/wessanet/rcomp/tmp/1p9vq1548111437.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)
Warning message:
In legend(residuals, gpfun, residuals_type) : All residuals are zero.
> dev.off()
null device 
          1 
> 
> 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="/home/pw/wessanet/rcomp/tmp/2icwe1548111437.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 = 0, df = NA, p-value = 1

> if (par3 == 'McNemar Chi-Squared') {
+ (cst <- mcnemar.test(table1))
+ }
> if (par3=='Fisher Exact Test') {
+ (cst <- fisher.test(table1))
+ }
> if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) {
+ 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/home/pw/wessanet/rcomp/tmp/3uo0n1548111437.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$method, 2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE)
> if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE)
> if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE)
> if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE)
> if (par3=='Fisher Exact Test') {
+ if ((ncol(table1) == 2) & (nrow(table1) == 2)) {
+ a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE)
+ } else {
+ a<-table.element(a, '--', 1,FALSE)
+ }
+ } else {
+ a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE)
+ }
> a<-table.row.end(a)
> if(!simulate.p.value){
+ if(par3!='Fisher Exact Test') {
+ 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="/home/pw/wessanet/rcomp/tmp/461gy1548111437.tab") 
> 
> try(system("convert /home/pw/wessanet/rcomp/tmp/1p9vq1548111437.ps /home/pw/wessanet/rcomp/tmp/1p9vq1548111437.png",intern=TRUE))
character(0)
> 
> proc.time()
   user  system elapsed 
  1.712   0.132   1.843