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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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list('b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Both'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Mental'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Physical'
+ ,'b'
+ ,'Not_bul'
+ ,'b'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Physical'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Physical'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Physical'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Physical'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Physical'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Not_bul'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Mental'
+ ,'g'
+ ,'Both'
+ ,'g'
+ ,'Not_bul')
+ ,dim=c(2
+ ,192)
+ ,dimnames=list(c('gender'
+ ,'type_of_bullying


')
+ ,1:192))
>  y <- array(NA,dim=c(2,192),dimnames=list(c('gender','type_of_bullying


'),1:192))
>  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"  "Physical"
  [2,] "b"  "Not_bul" 
  [3,] "b"  "Mental"  
  [4,] "b"  "Mental"  
  [5,] "b"  "Both"    
  [6,] "b"  "Mental"  
  [7,] "b"  "Both"    
  [8,] "b"  "Mental"  
  [9,] "b"  "Not_bul" 
 [10,] "b"  "Not_bul" 
 [11,] "b"  "Both"    
 [12,] "b"  "Not_bul" 
 [13,] "b"  "Mental"  
 [14,] "b"  "Both"    
 [15,] "b"  "Both"    
 [16,] "b"  "Both"    
 [17,] "b"  "Both"    
 [18,] "b"  "Not_bul" 
 [19,] "b"  "Mental"  
 [20,] "b"  "Not_bul" 
 [21,] "b"  "Not_bul" 
 [22,] "b"  "Not_bul" 
 [23,] "b"  "Physical"
 [24,] "b"  "Physical"
 [25,] "b"  "Not_bul" 
 [26,] "b"  "Not_bul" 
 [27,] "b"  "Not_bul" 
 [28,] "b"  "Both"    
 [29,] "b"  "Both"    
 [30,] "b"  "Mental"  
 [31,] "b"  "Mental"  
 [32,] "b"  "Mental"  
 [33,] "b"  "Physical"
 [34,] "b"  "Not_bul" 
 [35,] "b"  "Not_bul" 
 [36,] "b"  "Mental"  
 [37,] "b"  "Not_bul" 
 [38,] "b"  "Not_bul" 
 [39,] "b"  "Mental"  
 [40,] "b"  "Not_bul" 
 [41,] "b"  "Physical"
 [42,] "b"  "Mental"  
 [43,] "b"  "Mental"  
 [44,] "b"  "Not_bul" 
 [45,] "b"  "Not_bul" 
 [46,] "b"  "Not_bul" 
 [47,] "b"  "Mental"  
 [48,] "b"  "Not_bul" 
 [49,] "b"  "Physical"
 [50,] "b"  "Not_bul" 
 [51,] "b"  "Both"    
 [52,] "b"  "Not_bul" 
 [53,] "b"  "Physical"
 [54,] "b"  "Both"    
 [55,] "b"  "Both"    
 [56,] "b"  "Physical"
 [57,] "b"  "Mental"  
 [58,] "b"  "Mental"  
 [59,] "b"  "Not_bul" 
 [60,] "b"  "Physical"
 [61,] "b"  "Mental"  
 [62,] "b"  "Both"    
 [63,] "b"  "Mental"  
 [64,] "b"  "Not_bul" 
 [65,] "b"  "Not_bul" 
 [66,] "b"  "Both"    
 [67,] "b"  "Not_bul" 
 [68,] "b"  "Both"    
 [69,] "b"  "Mental"  
 [70,] "b"  "Mental"  
 [71,] "b"  "Mental"  
 [72,] "b"  "Physical"
 [73,] "b"  "Mental"  
 [74,] "b"  "Mental"  
 [75,] "b"  "Not_bul" 
 [76,] "b"  "Not_bul" 
 [77,] "b"  "Not_bul" 
 [78,] "b"  "Physical"
 [79,] "b"  "Mental"  
 [80,] "b"  "Physical"
 [81,] "b"  "Not_bul" 
 [82,] "b"  "Not_bul" 
 [83,] "b"  "Mental"  
 [84,] "b"  "Not_bul" 
 [85,] "b"  "Physical"
 [86,] "b"  "Not_bul" 
 [87,] "b"  "Not_bul" 
 [88,] "g"  "Both"    
 [89,] "g"  "Physical"
 [90,] "g"  "Mental"  
 [91,] "g"  "Mental"  
 [92,] "g"  "Not_bul" 
 [93,] "g"  "Not_bul" 
 [94,] "g"  "Not_bul" 
 [95,] "g"  "Mental"  
 [96,] "g"  "Not_bul" 
 [97,] "g"  "Mental"  
 [98,] "g"  "Not_bul" 
 [99,] "g"  "Not_bul" 
[100,] "g"  "Mental"  
[101,] "g"  "Not_bul" 
[102,] "g"  "Mental"  
[103,] "g"  "Physical"
[104,] "g"  "Not_bul" 
[105,] "g"  "Mental"  
[106,] "g"  "Not_bul" 
[107,] "g"  "Not_bul" 
[108,] "g"  "Both"    
[109,] "g"  "Not_bul" 
[110,] "g"  "Not_bul" 
[111,] "g"  "Not_bul" 
[112,] "g"  "Mental"  
[113,] "g"  "Both"    
[114,] "g"  "Not_bul" 
[115,] "g"  "Mental"  
[116,] "g"  "Not_bul" 
[117,] "g"  "Mental"  
[118,] "g"  "Not_bul" 
[119,] "g"  "Not_bul" 
[120,] "g"  "Mental"  
[121,] "g"  "Mental"  
[122,] "g"  "Not_bul" 
[123,] "g"  "Mental"  
[124,] "g"  "Mental"  
[125,] "g"  "Not_bul" 
[126,] "g"  "Both"    
[127,] "g"  "Mental"  
[128,] "g"  "Mental"  
[129,] "g"  "Not_bul" 
[130,] "g"  "Mental"  
[131,] "g"  "Mental"  
[132,] "g"  "Physical"
[133,] "g"  "Mental"  
[134,] "g"  "Mental"  
[135,] "g"  "Mental"  
[136,] "g"  "Not_bul" 
[137,] "g"  "Mental"  
[138,] "g"  "Not_bul" 
[139,] "g"  "Mental"  
[140,] "g"  "Both"    
[141,] "g"  "Mental"  
[142,] "g"  "Not_bul" 
[143,] "g"  "Not_bul" 
[144,] "g"  "Mental"  
[145,] "g"  "Mental"  
[146,] "g"  "Not_bul" 
[147,] "g"  "Both"    
[148,] "g"  "Physical"
[149,] "g"  "Not_bul" 
[150,] "g"  "Not_bul" 
[151,] "g"  "Both"    
[152,] "g"  "Not_bul" 
[153,] "g"  "Not_bul" 
[154,] "g"  "Mental"  
[155,] "g"  "Mental"  
[156,] "g"  "Not_bul" 
[157,] "g"  "Mental"  
[158,] "g"  "Not_bul" 
[159,] "g"  "Physical"
[160,] "g"  "Both"    
[161,] "g"  "Not_bul" 
[162,] "g"  "Not_bul" 
[163,] "g"  "Mental"  
[164,] "g"  "Mental"  
[165,] "g"  "Not_bul" 
[166,] "g"  "Mental"  
[167,] "g"  "Mental"  
[168,] "g"  "Mental"  
[169,] "g"  "Not_bul" 
[170,] "g"  "Mental"  
[171,] "g"  "Both"    
[172,] "g"  "Not_bul" 
[173,] "g"  "Not_bul" 
[174,] "g"  "Not_bul" 
[175,] "g"  "Not_bul" 
[176,] "g"  "Not_bul" 
[177,] "g"  "Not_bul" 
[178,] "g"  "Not_bul" 
[179,] "g"  "Not_bul" 
[180,] "g"  "Both"    
[181,] "g"  "Not_bul" 
[182,] "g"  "Not_bul" 
[183,] "g"  "Mental"  
[184,] "g"  "Mental"  
[185,] "g"  "Not_bul" 
[186,] "g"  "Both"    
[187,] "g"  "Mental"  
[188,] "g"  "Not_bul" 
[189,] "g"  "Mental"  
[190,] "g"  "Mental"  
[191,] "g"  "Both"    
[192,] "g"  "Not_bul" 
> (table1 <- table(z[,cat1],z[,cat2]))
   
    Both Mental Not_bul Physical
  b   15     25      34       13
  g   12     40      48        5
> (V1<-dimnames(y)[[1]][cat1])
[1] "gender"
> (V2<-dimnames(y)[[1]][cat2])
[1] "type_of_bullying\r\r\r"
> 
> #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/15guc1354195579.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 8.1246, df = 3, p-value = 0.04351

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2yl5x1354195579.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/3xrru1354195579.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.437   0.067   0.484