R version 2.13.0 (2011-04-13)
Copyright (C) 2011 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('b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'b'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'g'
+ ,'Often'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'b'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely'
+ ,'g'
+ ,'Rarely')
+ ,dim=c(2
+ ,106)
+ ,dimnames=list(c('gender'
+ ,'how_often_bullied')
+ ,1:106))
>  y <- array(NA,dim=c(2,106),dimnames=list(c('gender','how_often_bullied'),1:106))
>  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-Square'
> par2 = '2'
> par1 = '1'
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> simulate.p.value=FALSE
> if (par3 == 'Exact Pearson Chi Square by simulation') simulate.p.value=TRUE
> x <- t(x)
> (z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,]))))
       [,1] [,2]    
  [1,] "b"  "Often" 
  [2,] "b"  "Often" 
  [3,] "b"  "Often" 
  [4,] "b"  "Often" 
  [5,] "b"  "Often" 
  [6,] "b"  "Often" 
  [7,] "b"  "Often" 
  [8,] "b"  "Often" 
  [9,] "b"  "Often" 
 [10,] "b"  "Often" 
 [11,] "b"  "Often" 
 [12,] "b"  "Often" 
 [13,] "b"  "Often" 
 [14,] "b"  "Often" 
 [15,] "b"  "Often" 
 [16,] "b"  "Often" 
 [17,] "b"  "Often" 
 [18,] "b"  "Often" 
 [19,] "b"  "Often" 
 [20,] "b"  "Often" 
 [21,] "b"  "Often" 
 [22,] "b"  "Often" 
 [23,] "b"  "Often" 
 [24,] "b"  "Often" 
 [25,] "g"  "Often" 
 [26,] "g"  "Often" 
 [27,] "g"  "Often" 
 [28,] "g"  "Often" 
 [29,] "g"  "Often" 
 [30,] "g"  "Often" 
 [31,] "g"  "Often" 
 [32,] "g"  "Often" 
 [33,] "g"  "Often" 
 [34,] "g"  "Often" 
 [35,] "g"  "Often" 
 [36,] "g"  "Often" 
 [37,] "g"  "Often" 
 [38,] "g"  "Often" 
 [39,] "g"  "Often" 
 [40,] "g"  "Often" 
 [41,] "g"  "Often" 
 [42,] "g"  "Often" 
 [43,] "g"  "Often" 
 [44,] "g"  "Often" 
 [45,] "g"  "Often" 
 [46,] "g"  "Often" 
 [47,] "g"  "Often" 
 [48,] "g"  "Often" 
 [49,] "g"  "Often" 
 [50,] "g"  "Often" 
 [51,] "g"  "Often" 
 [52,] "g"  "Often" 
 [53,] "b"  "Rarely"
 [54,] "b"  "Rarely"
 [55,] "b"  "Rarely"
 [56,] "b"  "Rarely"
 [57,] "b"  "Rarely"
 [58,] "b"  "Rarely"
 [59,] "b"  "Rarely"
 [60,] "b"  "Rarely"
 [61,] "b"  "Rarely"
 [62,] "b"  "Rarely"
 [63,] "b"  "Rarely"
 [64,] "b"  "Rarely"
 [65,] "b"  "Rarely"
 [66,] "b"  "Rarely"
 [67,] "b"  "Rarely"
 [68,] "b"  "Rarely"
 [69,] "b"  "Rarely"
 [70,] "b"  "Rarely"
 [71,] "b"  "Rarely"
 [72,] "b"  "Rarely"
 [73,] "b"  "Rarely"
 [74,] "b"  "Rarely"
 [75,] "b"  "Rarely"
 [76,] "b"  "Rarely"
 [77,] "b"  "Rarely"
 [78,] "b"  "Rarely"
 [79,] "b"  "Rarely"
 [80,] "b"  "Rarely"
 [81,] "b"  "Rarely"
 [82,] "b"  "Rarely"
 [83,] "g"  "Rarely"
 [84,] "g"  "Rarely"
 [85,] "g"  "Rarely"
 [86,] "g"  "Rarely"
 [87,] "g"  "Rarely"
 [88,] "g"  "Rarely"
 [89,] "g"  "Rarely"
 [90,] "g"  "Rarely"
 [91,] "g"  "Rarely"
 [92,] "g"  "Rarely"
 [93,] "g"  "Rarely"
 [94,] "g"  "Rarely"
 [95,] "g"  "Rarely"
 [96,] "g"  "Rarely"
 [97,] "g"  "Rarely"
 [98,] "g"  "Rarely"
 [99,] "g"  "Rarely"
[100,] "g"  "Rarely"
[101,] "g"  "Rarely"
[102,] "g"  "Rarely"
[103,] "g"  "Rarely"
[104,] "g"  "Rarely"
[105,] "g"  "Rarely"
[106,] "g"  "Rarely"
> (table1 <- table(z[,cat1],z[,cat2]))
   
    Often Rarely
  b    24     30
  g    28     24
> (V1<-dimnames(y)[[1]][cat1])
[1] "gender"
> (V2<-dimnames(y)[[1]][cat2])
[1] "how_often_bullied"
> 
> #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/1ymes1321874117.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

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

data:  table1 
X-squared = 0.5985, df = 1, p-value = 0.4391

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2skw01321874117.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/3jgxj1321874117.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.310   0.029   0.332