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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> x <- array(list('Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Both'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Both'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Same'
+ ,'Often'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Both'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Not_bul'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Both'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Both'
+ ,'Often'
+ ,'Both'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Both'
+ ,'Rarely'
+ ,'Both'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Both'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Often'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Both'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Rarely'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Differnt'
+ ,'Often'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Same'
+ ,'Often'
+ ,'Same'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Both'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Rarely'
+ ,'Differnt'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Often'
+ ,'Same'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul')
+ ,dim=c(2
+ ,193)
+ ,dimnames=list(c('how_often_bullied'
+ ,'which_year')
+ ,1:193))
>  y <- array(NA,dim=c(2,193),dimnames=list(c('how_often_bullied','which_year'),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,] "Often"   "Same"    
  [2,] "Not_bul" "Same"    
  [3,] "Rarely"  "Same"    
  [4,] "Rarely"  "Differnt"
  [5,] "Not_bul" "Not_bul" 
  [6,] "Not_bul" "Differnt"
  [7,] "Not_bul" "Same"    
  [8,] "Not_bul" "Not_bul" 
  [9,] "Not_bul" "Not_bul" 
 [10,] "Rarely"  "Same"    
 [11,] "Not_bul" "Not_bul" 
 [12,] "Often"   "Both"    
 [13,] "Often"   "Same"    
 [14,] "Often"   "Differnt"
 [15,] "Not_bul" "Not_bul" 
 [16,] "Not_bul" "Not_bul" 
 [17,] "Rarely"  "Differnt"
 [18,] "Rarely"  "Both"    
 [19,] "Not_bul" "Differnt"
 [20,] "Not_bul" "Not_bul" 
 [21,] "Rarely"  "Differnt"
 [22,] "Not_bul" "Not_bul" 
 [23,] "Not_bul" "Same"    
 [24,] "Often"   "Differnt"
 [25,] "Often"   "Differnt"
 [26,] "Not_bul" "Not_bul" 
 [27,] "Not_bul" "Not_bul" 
 [28,] "Rarely"  "Differnt"
 [29,] "Often"   "Same"    
 [30,] "Not_bul" "Not_bul" 
 [31,] "Often"   "Same"    
 [32,] "Often"   "Differnt"
 [33,] "Often"   "Differnt"
 [34,] "Rarely"  "Differnt"
 [35,] "Not_bul" "Not_bul" 
 [36,] "Not_bul" "Not_bul" 
 [37,] "Often"   "Differnt"
 [38,] "Often"   "Differnt"
 [39,] "Not_bul" "Not_bul" 
 [40,] "Not_bul" "Not_bul" 
 [41,] "Not_bul" "Not_bul" 
 [42,] "Rarely"  "Not_bul" 
 [43,] "Rarely"  "Same"    
 [44,] "Not_bul" "Not_bul" 
 [45,] "Not_bul" "Not_bul" 
 [46,] "Not_bul" "Not_bul" 
 [47,] "Rarely"  "Differnt"
 [48,] "Not_bul" "Not_bul" 
 [49,] "Often"   "Differnt"
 [50,] "Often"   "Differnt"
 [51,] "Rarely"  "Differnt"
 [52,] "Not_bul" "Not_bul" 
 [53,] "Not_bul" "Not_bul" 
 [54,] "Rarely"  "Both"    
 [55,] "Not_bul" "Not_bul" 
 [56,] "Not_bul" "Not_bul" 
 [57,] "Not_bul" "Not_bul" 
 [58,] "Rarely"  "Same"    
 [59,] "Not_bul" "Not_bul" 
 [60,] "Often"   "Same"    
 [61,] "Often"   "Both"    
 [62,] "Rarely"  "Same"    
 [63,] "Often"   "Differnt"
 [64,] "Rarely"  "Differnt"
 [65,] "Rarely"  "Not_bul" 
 [66,] "Rarely"  "Same"    
 [67,] "Rarely"  "Same"    
 [68,] "Often"   "Same"    
 [69,] "Not_bul" "Not_bul" 
 [70,] "Often"   "Same"    
 [71,] "Rarely"  "Same"    
 [72,] "Not_bul" "Not_bul" 
 [73,] "Not_bul" "Not_bul" 
 [74,] "Not_bul" "Not_bul" 
 [75,] "Rarely"  "Both"    
 [76,] "Rarely"  "Both"    
 [77,] "Not_bul" "Not_bul" 
 [78,] "Rarely"  "Same"    
 [79,] "Rarely"  "Not_bul" 
 [80,] "Rarely"  "Not_bul" 
 [81,] "Often"   "Same"    
 [82,] "Not_bul" "Not_bul" 
 [83,] "Rarely"  "Same"    
 [84,] "Not_bul" "Same"    
 [85,] "Often"   "Differnt"
 [86,] "Often"   "Same"    
 [87,] "Often"   "Differnt"
 [88,] "Not_bul" "Same"    
 [89,] "Often"   "Differnt"
 [90,] "Rarely"  "Both"    
 [91,] "Often"   "Same"    
 [92,] "Often"   "Same"    
 [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,] "Often"   "Not_bul" 
 [99,] "Often"   "Both"    
[100,] "Often"   "Same"    
[101,] "Not_bul" "Not_bul" 
[102,] "Not_bul" "Not_bul" 
[103,] "Not_bul" "Not_bul" 
[104,] "Rarely"  "Same"    
[105,] "Often"   "Both"    
[106,] "Rarely"  "Both"    
[107,] "Not_bul" "Not_bul" 
[108,] "Not_bul" "Not_bul" 
[109,] "Often"   "Differnt"
[110,] "Often"   "Same"    
[111,] "Rarely"  "Same"    
[112,] "Often"   "Not_bul" 
[113,] "Not_bul" "Not_bul" 
[114,] "Often"   "Both"    
[115,] "Often"   "Both"    
[116,] "Rarely"  "Same"    
[117,] "Not_bul" "Differnt"
[118,] "Not_bul" "Not_bul" 
[119,] "Often"   "Both"    
[120,] "Rarely"  "Both"    
[121,] "Often"   "Same"    
[122,] "Not_bul" "Not_bul" 
[123,] "Not_bul" "Not_bul" 
[124,] "Rarely"  "Same"    
[125,] "Often"   "Same"    
[126,] "Not_bul" "Not_bul" 
[127,] "Rarely"  "Differnt"
[128,] "Rarely"  "Same"    
[129,] "Not_bul" "Not_bul" 
[130,] "Rarely"  "Both"    
[131,] "Rarely"  "Differnt"
[132,] "Rarely"  "Both"    
[133,] "Not_bul" "Not_bul" 
[134,] "Not_bul" "Not_bul" 
[135,] "Not_bul" "Not_bul" 
[136,] "Often"   "Same"    
[137,] "Rarely"  "Same"    
[138,] "Rarely"  "Differnt"
[139,] "Often"   "Both"    
[140,] "Not_bul" "Not_bul" 
[141,] "Not_bul" "Not_bul" 
[142,] "Often"   "Differnt"
[143,] "Rarely"  "Both"    
[144,] "Rarely"  "Same"    
[145,] "Often"   "Same"    
[146,] "Not_bul" "Not_bul" 
[147,] "Not_bul" "Not_bul" 
[148,] "Rarely"  "Same"    
[149,] "Not_bul" "Not_bul" 
[150,] "Often"   "Same"    
[151,] "Often"   "Same"    
[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,] "Rarely"  "Same"    
[159,] "Often"   "Both"    
[160,] "Not_bul" "Not_bul" 
[161,] "Rarely"  "Same"    
[162,] "Not_bul" "Not_bul" 
[163,] "Often"   "Same"    
[164,] "Rarely"  "Same"    
[165,] "Rarely"  "Same"    
[166,] "Not_bul" "Not_bul" 
[167,] "Often"   "Differnt"
[168,] "Often"   "Both"    
[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,] "Often"   "Not_bul" 
[175,] "Rarely"  "Same"    
[176,] "Often"   "Not_bul" 
[177,] "Rarely"  "Same"    
[178,] "Often"   "Same"    
[179,] "Rarely"  "Differnt"
[180,] "Rarely"  "Both"    
[181,] "Not_bul" "Not_bul" 
[182,] "Not_bul" "Not_bul" 
[183,] "Rarely"  "Differnt"
[184,] "Rarely"  "Differnt"
[185,] "Not_bul" "Not_bul" 
[186,] "Not_bul" "Not_bul" 
[187,] "Not_bul" "Not_bul" 
[188,] "Rarely"  "Differnt"
[189,] "Not_bul" "Not_bul" 
[190,] "Often"   "Same"    
[191,] "Not_bul" "Not_bul" 
[192,] "Not_bul" "Not_bul" 
[193,] "Not_bul" "Not_bul" 
> (table1 <- table(z[,cat1],z[,cat2]))
         
          Both Differnt Not_bul Same
  Not_bul    0        3      79    5
  Often     10       16       4   22
  Rarely    11       15       4   24
> (V1<-dimnames(y)[[1]][cat1])
[1] "how_often_bullied"
> (V2<-dimnames(y)[[1]][cat2])
[1] "which_year"
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/1d6hc1354479657.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 134.6066, df = 6, p-value < 2.2e-16

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/20tdr1354479657.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/fisher/rcomp/tmp/3pyv41354479657.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.428   0.132   0.540