R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list('Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Girls'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Girls'
+ ,'Often'
+ ,'Girls'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Girls'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Girls'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Girls'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Rarely'
+ ,'Both'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Girls'
+ ,'Often'
+ ,'Girls'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Often'
+ ,'Girls'
+ ,'Often'
+ ,'Girls'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Girls'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Rarely'
+ ,'Girls'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Both'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Girls'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Often'
+ ,'Boys'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Both'
+ ,'Often'
+ ,'Boys'
+ ,'Rarely'
+ ,'Both'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Boys'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Both'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul')
+ ,dim=c(2
+ ,193)
+ ,dimnames=list(c('gender_of_bully'
+ ,'how_often_bullied')
+ ,1:193))
>  y <- array(NA,dim=c(2,193),dimnames=list(c('gender_of_bully','how_often_bullied'),1:193))
>  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,] "Boys"    "Often"  
  [2,] "Boys"    "Not_bul"
  [3,] "Girls"   "Rarely" 
  [4,] "Boys"    "Rarely" 
  [5,] "Not_bul" "Not_bul"
  [6,] "Boys"    "Not_bul"
  [7,] "Not_bul" "Not_bul"
  [8,] "Not_bul" "Not_bul"
  [9,] "Not_bul" "Not_bul"
 [10,] "Boys"    "Rarely" 
 [11,] "Not_bul" "Not_bul"
 [12,] "Boys"    "Often"  
 [13,] "Both"    "Often"  
 [14,] "Boys"    "Often"  
 [15,] "Not_bul" "Not_bul"
 [16,] "Not_bul" "Not_bul"
 [17,] "Boys"    "Rarely" 
 [18,] "Boys"    "Rarely" 
 [19,] "Boys"    "Not_bul"
 [20,] "Not_bul" "Not_bul"
 [21,] "Boys"    "Rarely" 
 [22,] "Not_bul" "Not_bul"
 [23,] "Boys"    "Not_bul"
 [24,] "Girls"   "Often"  
 [25,] "Boys"    "Often"  
 [26,] "Not_bul" "Not_bul"
 [27,] "Boys"    "Not_bul"
 [28,] "Boys"    "Rarely" 
 [29,] "Boys"    "Often"  
 [30,] "Not_bul" "Not_bul"
 [31,] "Both"    "Often"  
 [32,] "Both"    "Often"  
 [33,] "Both"    "Often"  
 [34,] "Boys"    "Rarely" 
 [35,] "Not_bul" "Not_bul"
 [36,] "Not_bul" "Not_bul"
 [37,] "Boys"    "Often"  
 [38,] "Both"    "Often"  
 [39,] "Not_bul" "Not_bul"
 [40,] "Not_bul" "Not_bul"
 [41,] "Not_bul" "Not_bul"
 [42,] "Not_bul" "Rarely" 
 [43,] "Girls"   "Rarely" 
 [44,] "Not_bul" "Not_bul"
 [45,] "Not_bul" "Not_bul"
 [46,] "Not_bul" "Not_bul"
 [47,] "Boys"    "Rarely" 
 [48,] "Not_bul" "Not_bul"
 [49,] "Girls"   "Often"  
 [50,] "Both"    "Often"  
 [51,] "Boys"    "Rarely" 
 [52,] "Not_bul" "Not_bul"
 [53,] "Not_bul" "Not_bul"
 [54,] "Boys"    "Rarely" 
 [55,] "Not_bul" "Not_bul"
 [56,] "Not_bul" "Not_bul"
 [57,] "Not_bul" "Not_bul"
 [58,] "Girls"   "Rarely" 
 [59,] "Not_bul" "Not_bul"
 [60,] "Boys"    "Often"  
 [61,] "Girls"   "Often"  
 [62,] "Girls"   "Rarely" 
 [63,] "Boys"    "Often"  
 [64,] "Boys"    "Rarely" 
 [65,] "Girls"   "Rarely" 
 [66,] "Boys"    "Rarely" 
 [67,] "Girls"   "Rarely" 
 [68,] "Boys"    "Often"  
 [69,] "Not_bul" "Not_bul"
 [70,] "Boys"    "Often"  
 [71,] "Girls"   "Rarely" 
 [72,] "Not_bul" "Not_bul"
 [73,] "Not_bul" "Not_bul"
 [74,] "Not_bul" "Not_bul"
 [75,] "Both"    "Rarely" 
 [76,] "Both"    "Rarely" 
 [77,] "Not_bul" "Not_bul"
 [78,] "Boys"    "Rarely" 
 [79,] "Not_bul" "Rarely" 
 [80,] "Not_bul" "Rarely" 
 [81,] "Boys"    "Often"  
 [82,] "Not_bul" "Not_bul"
 [83,] "Both"    "Rarely" 
 [84,] "Both"    "Not_bul"
 [85,] "Both"    "Often"  
 [86,] "Boys"    "Often"  
 [87,] "Boys"    "Often"  
 [88,] "Not_bul" "Not_bul"
 [89,] "Boys"    "Often"  
 [90,] "Boys"    "Rarely" 
 [91,] "Girls"   "Often"  
 [92,] "Girls"   "Often"  
 [93,] "Not_bul" "Not_bul"
 [94,] "Not_bul" "Not_bul"
 [95,] "Not_bul" "Not_bul"
 [96,] "Not_bul" "Not_bul"
 [97,] "Not_bul" "Not_bul"
 [98,] "Both"    "Often"  
 [99,] "Girls"   "Often"  
[100,] "Girls"   "Often"  
[101,] "Not_bul" "Not_bul"
[102,] "Not_bul" "Not_bul"
[103,] "Not_bul" "Not_bul"
[104,] "Girls"   "Rarely" 
[105,] "Boys"    "Often"  
[106,] "Boys"    "Rarely" 
[107,] "Not_bul" "Not_bul"
[108,] "Not_bul" "Not_bul"
[109,] "Boys"    "Often"  
[110,] "Girls"   "Often"  
[111,] "Boys"    "Rarely" 
[112,] "Not_bul" "Often"  
[113,] "Not_bul" "Not_bul"
[114,] "Boys"    "Often"  
[115,] "Boys"    "Often"  
[116,] "Boys"    "Rarely" 
[117,] "Boys"    "Not_bul"
[118,] "Not_bul" "Not_bul"
[119,] "Boys"    "Often"  
[120,] "Boys"    "Rarely" 
[121,] "Boys"    "Often"  
[122,] "Not_bul" "Not_bul"
[123,] "Not_bul" "Not_bul"
[124,] "Girls"   "Rarely" 
[125,] "Girls"   "Often"  
[126,] "Not_bul" "Not_bul"
[127,] "Boys"    "Rarely" 
[128,] "Boys"    "Rarely" 
[129,] "Not_bul" "Not_bul"
[130,] "Boys"    "Rarely" 
[131,] "Boys"    "Rarely" 
[132,] "Boys"    "Rarely" 
[133,] "Not_bul" "Not_bul"
[134,] "Not_bul" "Not_bul"
[135,] "Not_bul" "Not_bul"
[136,] "Girls"   "Often"  
[137,] "Boys"    "Rarely" 
[138,] "Boys"    "Rarely" 
[139,] "Both"    "Often"  
[140,] "Not_bul" "Not_bul"
[141,] "Not_bul" "Not_bul"
[142,] "Boys"    "Often"  
[143,] "Boys"    "Rarely" 
[144,] "Boys"    "Rarely" 
[145,] "Girls"   "Often"  
[146,] "Not_bul" "Not_bul"
[147,] "Not_bul" "Not_bul"
[148,] "Girls"   "Rarely" 
[149,] "Not_bul" "Not_bul"
[150,] "Boys"    "Often"  
[151,] "Boys"    "Often"  
[152,] "Not_bul" "Not_bul"
[153,] "Not_bul" "Not_bul"
[154,] "Not_bul" "Not_bul"
[155,] "Not_bul" "Not_bul"
[156,] "Not_bul" "Not_bul"
[157,] "Not_bul" "Not_bul"
[158,] "Boys"    "Rarely" 
[159,] "Boys"    "Often"  
[160,] "Not_bul" "Not_bul"
[161,] "Boys"    "Rarely" 
[162,] "Not_bul" "Not_bul"
[163,] "Boys"    "Often"  
[164,] "Boys"    "Rarely" 
[165,] "Boys"    "Rarely" 
[166,] "Not_bul" "Not_bul"
[167,] "Boys"    "Often"  
[168,] "Boys"    "Often"  
[169,] "Not_bul" "Not_bul"
[170,] "Not_bul" "Not_bul"
[171,] "Not_bul" "Not_bul"
[172,] "Not_bul" "Not_bul"
[173,] "Not_bul" "Not_bul"
[174,] "Both"    "Often"  
[175,] "Boys"    "Rarely" 
[176,] "Both"    "Often"  
[177,] "Boys"    "Rarely" 
[178,] "Both"    "Often"  
[179,] "Boys"    "Rarely" 
[180,] "Both"    "Rarely" 
[181,] "Not_bul" "Not_bul"
[182,] "Not_bul" "Not_bul"
[183,] "Boys"    "Rarely" 
[184,] "Boys"    "Rarely" 
[185,] "Not_bul" "Not_bul"
[186,] "Not_bul" "Not_bul"
[187,] "Not_bul" "Not_bul"
[188,] "Boys"    "Rarely" 
[189,] "Not_bul" "Not_bul"
[190,] "Both"    "Often"  
[191,] "Not_bul" "Not_bul"
[192,] "Not_bul" "Not_bul"
[193,] "Not_bul" "Not_bul"
> (table1 <- table(z[,cat1],z[,cat2]))
         
          Not_bul Often Rarely
  Both          1    13      4
  Boys          6    27     37
  Girls         0    11     10
  Not_bul      80     1      3
> (V1<-dimnames(y)[[1]][cat1])
[1] "gender_of_bully"
> (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/1bamz1386246261.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1
X-squared = 162.6923, df = 6, p-value < 2.2e-16

Warning message:
In chisq.test(table1, simulate.p.value = simulate.p.value) :
  Chi-squared approximation may be incorrect
> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/25pb41386246262.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/3uigu1386246262.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.785   0.338   1.087