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(39
+ ,41
+ ,55
+ ,56
+ ,44
+ ,44
+ ,54
+ ,58
+ ,48
+ ,44
+ ,56
+ ,58
+ ,45
+ ,45
+ ,57
+ ,58
+ ,45
+ ,45
+ ,59
+ ,61
+ ,47
+ ,45
+ ,61
+ ,61
+ ,47
+ ,47
+ ,63
+ ,63
+ ,47
+ ,47
+ ,62
+ ,64
+ ,50
+ ,47
+ ,65
+ ,64
+ ,50
+ ,49
+ ,65
+ ,64
+ ,50
+ ,50
+ ,64
+ ,65
+ ,50
+ ,50
+ ,62
+ ,66
+ ,50
+ ,50
+ ,65
+ ,66
+ ,51
+ ,50
+ ,65
+ ,66
+ ,53
+ ,50
+ ,66
+ ,66
+ ,51
+ ,51
+ ,65
+ ,67
+ ,52
+ ,51
+ ,66
+ ,67
+ ,52
+ ,51
+ ,67
+ ,67
+ ,53
+ ,51
+ ,66
+ ,68
+ ,58
+ ,51
+ ,68
+ ,68
+ ,51
+ ,52
+ ,69
+ ,68
+ ,52
+ ,52
+ ,70
+ ,68
+ ,52
+ ,52
+ ,71
+ ,68
+ ,53
+ ,52
+ ,68
+ ,69
+ ,53
+ ,52
+ ,69
+ ,69
+ ,52
+ ,53
+ ,66
+ ,70
+ ,53
+ ,53
+ ,68
+ ,70
+ ,53
+ ,53
+ ,69
+ ,70
+ ,54
+ ,53
+ ,69
+ ,70
+ ,56
+ ,53
+ ,70
+ ,70
+ ,53
+ ,54
+ ,75
+ ,70
+ ,54
+ ,54
+ ,69
+ ,71
+ ,55
+ ,54
+ ,71
+ ,71
+ ,56
+ ,54
+ ,71
+ ,71
+ ,58
+ ,54
+ ,74
+ ,71
+ ,50
+ ,55
+ ,69
+ ,73
+ ,53
+ ,55
+ ,69
+ ,73
+ ,54
+ ,55
+ ,74
+ ,73
+ ,54
+ ,55
+ ,75
+ ,73
+ ,55
+ ,55
+ ,73
+ ,74
+ ,55
+ ,55
+ ,70
+ ,75
+ ,55
+ ,55
+ ,76
+ ,75
+ ,55
+ ,55
+ ,76
+ ,75
+ ,57
+ ,55
+ ,76
+ ,75
+ ,59
+ ,55
+ ,71
+ ,76
+ ,59
+ ,55
+ ,75
+ ,76
+ ,60
+ ,55
+ ,76
+ ,76
+ ,60
+ ,55
+ ,79
+ ,76
+ ,54
+ ,56
+ ,80
+ ,76
+ ,56
+ ,56
+ ,76
+ ,77
+ ,56
+ ,56
+ ,77
+ ,77
+ ,56
+ ,56
+ ,78
+ ,77
+ ,57
+ ,56
+ ,80
+ ,78
+ ,57
+ ,56
+ ,79
+ ,79
+ ,166
+ ,56
+ ,78
+ ,80
+ ,52
+ ,57
+ ,80
+ ,80
+ ,55
+ ,57
+ ,83
+ ,80
+ ,56
+ ,57
+ ,79
+ ,81
+ ,56
+ ,57
+ ,81
+ ,82
+ ,56
+ ,57
+ ,85
+ ,82
+ ,57
+ ,58
+ ,83
+ ,83
+ ,59
+ ,58
+ ,85
+ ,83
+ ,54
+ ,59
+ ,83
+ ,84
+ ,57
+ ,59
+ ,82
+ ,85
+ ,59
+ ,59
+ ,84
+ ,86
+ ,59
+ ,59
+ ,88
+ ,86
+ ,59
+ ,59
+ ,88
+ ,86
+ ,60
+ ,59
+ ,89
+ ,86
+ ,63
+ ,59
+ ,88
+ ,87
+ ,63
+ ,59
+ ,87
+ ,89
+ ,58
+ ,60
+ ,84
+ ,90
+ ,61
+ ,60
+ ,90
+ ,91
+ ,61
+ ,61
+ ,90
+ ,91
+ ,61
+ ,61
+ ,88
+ ,93
+ ,62
+ ,61
+ ,96
+ ,94
+ ,62
+ ,61
+ ,96
+ ,95
+ ,62
+ ,61
+ ,97
+ ,98
+ ,63
+ ,61
+ ,101
+ ,100
+ ,62
+ ,62
+ ,92
+ ,101
+ ,62
+ ,62
+ ,103
+ ,101
+ ,63
+ ,62
+ ,102
+ ,107
+ ,64
+ ,62
+ ,119
+ ,124)
+ ,dim=c(4
+ ,82)
+ ,dimnames=list(c('w'
+ ,'rw'
+ ,'w'
+ ,'rw')
+ ,1:82))
>  y <- array(NA,dim=c(4,82),dimnames=list(c('w','rw','w','rw'),1:82))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = 'Pearson Chi-Square'
> par2 = '2'
> par1 = '1'
> par3 <- 'Pearson Chi-Square'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, STARS Bullying Study (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_STARS_Bullying_Study_alt.wasp/
> #Source of accompanying publication: 
> #
> 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] [,3] [,4]
 [1,]   39   41   55   56
 [2,]   44   44   54   58
 [3,]   48   44   56   58
 [4,]   45   45   57   58
 [5,]   45   45   59   61
 [6,]   47   45   61   61
 [7,]   47   47   63   63
 [8,]   47   47   62   64
 [9,]   50   47   65   64
[10,]   50   49   65   64
[11,]   50   50   64   65
[12,]   50   50   62   66
[13,]   50   50   65   66
[14,]   51   50   65   66
[15,]   53   50   66   66
[16,]   51   51   65   67
[17,]   52   51   66   67
[18,]   52   51   67   67
[19,]   53   51   66   68
[20,]   58   51   68   68
[21,]   51   52   69   68
[22,]   52   52   70   68
[23,]   52   52   71   68
[24,]   53   52   68   69
[25,]   53   52   69   69
[26,]   52   53   66   70
[27,]   53   53   68   70
[28,]   53   53   69   70
[29,]   54   53   69   70
[30,]   56   53   70   70
[31,]   53   54   75   70
[32,]   54   54   69   71
[33,]   55   54   71   71
[34,]   56   54   71   71
[35,]   58   54   74   71
[36,]   50   55   69   73
[37,]   53   55   69   73
[38,]   54   55   74   73
[39,]   54   55   75   73
[40,]   55   55   73   74
[41,]   55   55   70   75
[42,]   55   55   76   75
[43,]   55   55   76   75
[44,]   57   55   76   75
[45,]   59   55   71   76
[46,]   59   55   75   76
[47,]   60   55   76   76
[48,]   60   55   79   76
[49,]   54   56   80   76
[50,]   56   56   76   77
[51,]   56   56   77   77
[52,]   56   56   78   77
[53,]   57   56   80   78
[54,]   57   56   79   79
[55,]  166   56   78   80
[56,]   52   57   80   80
[57,]   55   57   83   80
[58,]   56   57   79   81
[59,]   56   57   81   82
[60,]   56   57   85   82
[61,]   57   58   83   83
[62,]   59   58   85   83
[63,]   54   59   83   84
[64,]   57   59   82   85
[65,]   59   59   84   86
[66,]   59   59   88   86
[67,]   59   59   88   86
[68,]   60   59   89   86
[69,]   63   59   88   87
[70,]   63   59   87   89
[71,]   58   60   84   90
[72,]   61   60   90   91
[73,]   61   61   90   91
[74,]   61   61   88   93
[75,]   62   61   96   94
[76,]   62   61   96   95
[77,]   62   61   97   98
[78,]   63   61  101  100
[79,]   62   62   92  101
[80,]   62   62  103  101
[81,]   63   62  102  107
[82,]   64   62  119  124
> (table1 <- table(z[,cat1],z[,cat2]))
     
      41 44 45 47 49 50 51 52 53 54 55 56 57 58 59 60 61 62
  39   1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  44   0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  45   0  0  2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  47   0  0  1  2  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  48   0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  50   0  0  0  1  1  3  0  0  0  0  1  0  0  0  0  0  0  0
  51   0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0
  52   0  0  0  0  0  0  2  2  1  0  0  0  1  0  0  0  0  0
  53   0  0  0  0  0  1  1  2  2  1  1  0  0  0  0  0  0  0
  54   0  0  0  0  0  0  0  0  1  1  2  1  0  0  1  0  0  0
  55   0  0  0  0  0  0  0  0  0  1  4  0  1  0  0  0  0  0
  56   0  0  0  0  0  0  0  0  1  1  0  3  3  0  0  0  0  0
  57   0  0  0  0  0  0  0  0  0  0  1  2  0  1  1  0  0  0
  58   0  0  0  0  0  0  1  0  0  1  0  0  0  0  0  1  0  0
  59   0  0  0  0  0  0  0  0  0  0  2  0  0  1  3  0  0  0
  60   0  0  0  0  0  0  0  0  0  0  2  0  0  0  1  0  0  0
  61   0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  2  0
  62   0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  3  2
  63   0  0  0  0  0  0  0  0  0  0  0  0  0  0  2  0  1  1
  64   0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1
  166  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0
> (V1<-dimnames(y)[[1]][cat1])
[1] "w"
> (V2<-dimnames(y)[[1]][cat2])
[1] "rw"
> 
> #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/1c5mb1338546790.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 572.134, df = 340, p-value = 4.553e-14

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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2qbcf1338546790.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/3ryn71338546790.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.487   0.102   0.578