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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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('F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Overestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Underestimate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Accurate'
+ ,'F'
+ ,'Underestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Accurate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Underestimate'
+ ,'M'
+ ,'Overestimate'
+ ,'M'
+ ,'Overestimate')
+ ,dim=c(2
+ ,182)
+ ,dimnames=list(c('Gender'
+ ,'Estimate')
+ ,1:182))
>  y <- array(NA,dim=c(2,182),dimnames=list(c('Gender','Estimate'),1:182))
>  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'
> 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]           
  [1,] "F"  "Underestimate"
  [2,] "F"  "Overestimate" 
  [3,] "F"  "Accurate"     
  [4,] "F"  "Overestimate" 
  [5,] "F"  "Accurate"     
  [6,] "F"  "Overestimate" 
  [7,] "F"  "Overestimate" 
  [8,] "F"  "Accurate"     
  [9,] "F"  "Accurate"     
 [10,] "F"  "Accurate"     
 [11,] "F"  "Overestimate" 
 [12,] "F"  "Accurate"     
 [13,] "F"  "Underestimate"
 [14,] "F"  "Overestimate" 
 [15,] "F"  "Overestimate" 
 [16,] "F"  "Accurate"     
 [17,] "F"  "Accurate"     
 [18,] "F"  "Underestimate"
 [19,] "F"  "Underestimate"
 [20,] "F"  "Underestimate"
 [21,] "F"  "Underestimate"
 [22,] "F"  "Overestimate" 
 [23,] "F"  "Overestimate" 
 [24,] "F"  "Accurate"     
 [25,] "F"  "Overestimate" 
 [26,] "F"  "Underestimate"
 [27,] "F"  "Underestimate"
 [28,] "F"  "Underestimate"
 [29,] "F"  "Underestimate"
 [30,] "F"  "Underestimate"
 [31,] "F"  "Underestimate"
 [32,] "F"  "Underestimate"
 [33,] "F"  "Underestimate"
 [34,] "F"  "Overestimate" 
 [35,] "F"  "Accurate"     
 [36,] "F"  "Overestimate" 
 [37,] "F"  "Overestimate" 
 [38,] "F"  "Underestimate"
 [39,] "F"  "Underestimate"
 [40,] "F"  "Underestimate"
 [41,] "F"  "Accurate"     
 [42,] "F"  "Accurate"     
 [43,] "F"  "Overestimate" 
 [44,] "F"  "Underestimate"
 [45,] "F"  "Accurate"     
 [46,] "F"  "Overestimate" 
 [47,] "F"  "Accurate"     
 [48,] "F"  "Accurate"     
 [49,] "F"  "Accurate"     
 [50,] "F"  "Accurate"     
 [51,] "F"  "Accurate"     
 [52,] "F"  "Overestimate" 
 [53,] "F"  "Underestimate"
 [54,] "F"  "Underestimate"
 [55,] "F"  "Underestimate"
 [56,] "F"  "Accurate"     
 [57,] "F"  "Underestimate"
 [58,] "F"  "Overestimate" 
 [59,] "F"  "Overestimate" 
 [60,] "F"  "Accurate"     
 [61,] "F"  "Accurate"     
 [62,] "F"  "Accurate"     
 [63,] "F"  "Overestimate" 
 [64,] "F"  "Accurate"     
 [65,] "F"  "Accurate"     
 [66,] "F"  "Accurate"     
 [67,] "F"  "Underestimate"
 [68,] "F"  "Underestimate"
 [69,] "F"  "Underestimate"
 [70,] "F"  "Accurate"     
 [71,] "F"  "Underestimate"
 [72,] "F"  "Overestimate" 
 [73,] "F"  "Overestimate" 
 [74,] "F"  "Overestimate" 
 [75,] "F"  "Overestimate" 
 [76,] "F"  "Accurate"     
 [77,] "F"  "Accurate"     
 [78,] "F"  "Underestimate"
 [79,] "F"  "Underestimate"
 [80,] "F"  "Overestimate" 
 [81,] "F"  "Accurate"     
 [82,] "F"  "Underestimate"
 [83,] "F"  "Underestimate"
 [84,] "F"  "Underestimate"
 [85,] "F"  "Underestimate"
 [86,] "F"  "Accurate"     
 [87,] "F"  "Underestimate"
 [88,] "F"  "Underestimate"
 [89,] "F"  "Accurate"     
 [90,] "F"  "Underestimate"
 [91,] "F"  "Accurate"     
 [92,] "F"  "Underestimate"
 [93,] "F"  "Underestimate"
 [94,] "F"  "Accurate"     
 [95,] "F"  "Underestimate"
 [96,] "F"  "Underestimate"
 [97,] "F"  "Underestimate"
 [98,] "F"  "Accurate"     
 [99,] "F"  "Accurate"     
[100,] "F"  "Underestimate"
[101,] "M"  "Accurate"     
[102,] "M"  "Overestimate" 
[103,] "M"  "Accurate"     
[104,] "M"  "Overestimate" 
[105,] "M"  "Overestimate" 
[106,] "M"  "Accurate"     
[107,] "M"  "Underestimate"
[108,] "M"  "Overestimate" 
[109,] "M"  "Overestimate" 
[110,] "M"  "Underestimate"
[111,] "M"  "Overestimate" 
[112,] "M"  "Overestimate" 
[113,] "M"  "Overestimate" 
[114,] "M"  "Underestimate"
[115,] "M"  "Underestimate"
[116,] "M"  "Underestimate"
[117,] "M"  "Overestimate" 
[118,] "M"  "Accurate"     
[119,] "M"  "Underestimate"
[120,] "M"  "Overestimate" 
[121,] "M"  "Accurate"     
[122,] "M"  "Overestimate" 
[123,] "M"  "Underestimate"
[124,] "M"  "Overestimate" 
[125,] "M"  "Underestimate"
[126,] "M"  "Overestimate" 
[127,] "M"  "Underestimate"
[128,] "M"  "Overestimate" 
[129,] "M"  "Underestimate"
[130,] "M"  "Overestimate" 
[131,] "M"  "Overestimate" 
[132,] "M"  "Accurate"     
[133,] "M"  "Overestimate" 
[134,] "M"  "Overestimate" 
[135,] "M"  "Underestimate"
[136,] "M"  "Accurate"     
[137,] "M"  "Overestimate" 
[138,] "M"  "Overestimate" 
[139,] "M"  "Overestimate" 
[140,] "M"  "Overestimate" 
[141,] "M"  "Overestimate" 
[142,] "M"  "Underestimate"
[143,] "M"  "Overestimate" 
[144,] "M"  "Overestimate" 
[145,] "M"  "Underestimate"
[146,] "M"  "Underestimate"
[147,] "M"  "Accurate"     
[148,] "M"  "Overestimate" 
[149,] "M"  "Accurate"     
[150,] "M"  "Accurate"     
[151,] "M"  "Accurate"     
[152,] "M"  "Underestimate"
[153,] "M"  "Overestimate" 
[154,] "M"  "Overestimate" 
[155,] "M"  "Underestimate"
[156,] "M"  "Overestimate" 
[157,] "M"  "Overestimate" 
[158,] "M"  "Overestimate" 
[159,] "M"  "Overestimate" 
[160,] "M"  "Underestimate"
[161,] "M"  "Overestimate" 
[162,] "M"  "Underestimate"
[163,] "M"  "Overestimate" 
[164,] "M"  "Underestimate"
[165,] "M"  "Overestimate" 
[166,] "M"  "Underestimate"
[167,] "M"  "Underestimate"
[168,] "M"  "Accurate"     
[169,] "M"  "Overestimate" 
[170,] "M"  "Underestimate"
[171,] "M"  "Overestimate" 
[172,] "M"  "Overestimate" 
[173,] "M"  "Accurate"     
[174,] "M"  "Underestimate"
[175,] "M"  "Accurate"     
[176,] "M"  "Underestimate"
[177,] "M"  "Overestimate" 
[178,] "M"  "Underestimate"
[179,] "M"  "Underestimate"
[180,] "M"  "Underestimate"
[181,] "M"  "Overestimate" 
[182,] "M"  "Overestimate" 
> (table1 <- table(z[,cat1],z[,cat2]))
   
    Accurate Overestimate Underestimate
  F       35           24            41
  M       14           41            27
> (V1<-dimnames(y)[[1]][cat1])
[1] "Gender"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Estimate"
> 
> #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/1k1l51338389500.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 14.692, df = 2, p-value = 0.0006452

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2zkvx1338389500.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/37cdv1338389500.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.361   0.065   0.416