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('g'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Both'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Girls'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Both'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Both'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Both'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Differnt'
+ ,'Both'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Both'
+ ,'b'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'g'
+ ,'Rarely'
+ ,'Both'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Differnt'
+ ,'Both'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Not_bul'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Both'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Both'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Girls'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Both'
+ ,'Both'
+ ,'Both'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Both'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'b'
+ ,'Rarely'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Both'
+ ,'g'
+ ,'Often'
+ ,'Physical'
+ ,'Differnt'
+ ,'Both'
+ ,'b'
+ ,'Often'
+ ,'Not_bul'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Not_bul'
+ ,'Both'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Both'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'Not_bul'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Not_bul'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Both'
+ ,'Both'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Girls'
+ ,'b'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Both'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Both'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Both'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Mental'
+ ,'Not_bul'
+ ,'Both'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Same'
+ ,'Boys'
+ ,'b'
+ ,'Often'
+ ,'Mental'
+ ,'Not_bul'
+ ,'Both'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Same'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Not_bul'
+ ,'Same'
+ ,'Both'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Rarely'
+ ,'Both'
+ ,'Both'
+ ,'Both'
+ ,'g'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Mental'
+ ,'Differnt'
+ ,'Boys'
+ ,'b'
+ ,'Rarely'
+ ,'Physical'
+ ,'Differnt'
+ ,'Boys'
+ ,'g'
+ ,'Often'
+ ,'Both'
+ ,'Same'
+ ,'Both')
+ ,dim=c(5
+ ,105)
+ ,dimnames=list(c('gender'
+ ,'how_often_bullied'
+ ,'type_of_bullying'
+ ,'which_year'
+ ,'gender_of_bully')
+ ,1:105))
>  y <- array(NA,dim=c(5,105),dimnames=list(c('gender','how_often_bullied','type_of_bullying','which_year','gender_of_bully'),1:105))
>  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 = '4'
> 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]       [,5]     
  [1,] "g"  "Often"  "Both"     "Same"     "Boys"   
  [2,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
  [3,] "g"  "Rarely" "Mental"   "Differnt" "Boys"   
  [4,] "b"  "Rarely" "Mental"   "Same"     "Boys"   
  [5,] "b"  "Often"  "Mental"   "Both"     "Boys"   
  [6,] "g"  "Often"  "Mental"   "Same"     "Both"   
  [7,] "b"  "Often"  "Both"     "Differnt" "Boys"   
  [8,] "b"  "Rarely" "Mental"   "Differnt" "Boys"   
  [9,] "b"  "Rarely" "Both"     "Both"     "Boys"   
 [10,] "b"  "Rarely" "Not_bul"  "Differnt" "Boys"   
 [11,] "g"  "Often"  "Mental"   "Differnt" "Girls"  
 [12,] "b"  "Often"  "Both"     "Differnt" "Boys"   
 [13,] "b"  "Rarely" "Both"     "Differnt" "Boys"   
 [14,] "b"  "Often"  "Both"     "Same"     "Boys"   
 [15,] "b"  "Often"  "Both"     "Same"     "Both"   
 [16,] "g"  "Often"  "Mental"   "Differnt" "Both"   
 [17,] "b"  "Often"  "Both"     "Differnt" "Both"   
 [18,] "b"  "Often"  "Mental"   "Differnt" "Boys"   
 [19,] "g"  "Often"  "Mental"   "Differnt" "Both"   
 [20,] "b"  "Rarely" "Not_bul"  "Not_bul"  "Not_bul"
 [21,] "g"  "Rarely" "Both"     "Same"     "Girls"  
 [22,] "b"  "Rarely" "Physical" "Differnt" "Boys"   
 [23,] "g"  "Often"  "Mental"   "Differnt" "Girls"  
 [24,] "g"  "Often"  "Both"     "Differnt" "Both"   
 [25,] "b"  "Rarely" "Physical" "Differnt" "Boys"   
 [26,] "g"  "Rarely" "Mental"   "Both"     "Boys"   
 [27,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [28,] "g"  "Often"  "Not_bul"  "Same"     "Boys"   
 [29,] "g"  "Often"  "Mental"   "Both"     "Girls"  
 [30,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [31,] "b"  "Often"  "Both"     "Differnt" "Boys"   
 [32,] "b"  "Rarely" "Both"     "Differnt" "Boys"   
 [33,] "g"  "Rarely" "Not_bul"  "Not_bul"  "Girls"  
 [34,] "b"  "Rarely" "Mental"   "Same"     "Boys"   
 [35,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [36,] "b"  "Often"  "Mental"   "Same"     "Boys"   
 [37,] "b"  "Often"  "Physical" "Same"     "Boys"   
 [38,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [39,] "g"  "Rarely" "Both"     "Both"     "Both"   
 [40,] "g"  "Rarely" "Mental"   "Both"     "Both"   
 [41,] "b"  "Rarely" "Mental"   "Same"     "Boys"   
 [42,] "b"  "Rarely" "Not_bul"  "Not_bul"  "Not_bul"
 [43,] "b"  "Rarely" "Not_bul"  "Not_bul"  "Not_bul"
 [44,] "b"  "Often"  "Mental"   "Same"     "Boys"   
 [45,] "g"  "Rarely" "Mental"   "Same"     "Both"   
 [46,] "g"  "Often"  "Physical" "Differnt" "Both"   
 [47,] "b"  "Often"  "Not_bul"  "Same"     "Boys"   
 [48,] "b"  "Often"  "Physical" "Differnt" "Boys"   
 [49,] "b"  "Often"  "Mental"   "Differnt" "Boys"   
 [50,] "b"  "Rarely" "Mental"   "Both"     "Boys"   
 [51,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [52,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [53,] "g"  "Often"  "Mental"   "Not_bul"  "Both"   
 [54,] "g"  "Often"  "Both"     "Both"     "Girls"  
 [55,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [56,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [57,] "g"  "Often"  "Mental"   "Both"     "Boys"   
 [58,] "b"  "Rarely" "Mental"   "Both"     "Boys"   
 [59,] "b"  "Often"  "Physical" "Differnt" "Boys"   
 [60,] "g"  "Often"  "Both"     "Same"     "Girls"  
 [61,] "g"  "Rarely" "Physical" "Same"     "Boys"   
 [62,] "b"  "Often"  "Not_bul"  "Not_bul"  "Not_bul"
 [63,] "b"  "Often"  "Both"     "Both"     "Boys"   
 [64,] "b"  "Often"  "Not_bul"  "Both"     "Boys"   
 [65,] "b"  "Rarely" "Physical" "Same"     "Boys"   
 [66,] "g"  "Often"  "Both"     "Both"     "Boys"   
 [67,] "b"  "Rarely" "Both"     "Both"     "Boys"   
 [68,] "b"  "Often"  "Physical" "Same"     "Boys"   
 [69,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [70,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [71,] "b"  "Rarely" "Mental"   "Differnt" "Boys"   
 [72,] "g"  "Rarely" "Mental"   "Same"     "Boys"   
 [73,] "b"  "Rarely" "Mental"   "Both"     "Boys"   
 [74,] "g"  "Rarely" "Physical" "Differnt" "Boys"   
 [75,] "g"  "Rarely" "Both"     "Both"     "Boys"   
 [76,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [77,] "b"  "Rarely" "Physical" "Same"     "Boys"   
 [78,] "b"  "Rarely" "Mental"   "Differnt" "Boys"   
 [79,] "g"  "Often"  "Mental"   "Both"     "Both"   
 [80,] "g"  "Often"  "Mental"   "Differnt" "Boys"   
 [81,] "b"  "Rarely" "Mental"   "Both"     "Boys"   
 [82,] "g"  "Rarely" "Mental"   "Same"     "Boys"   
 [83,] "g"  "Often"  "Mental"   "Same"     "Girls"  
 [84,] "g"  "Rarely" "Mental"   "Same"     "Girls"  
 [85,] "b"  "Often"  "Both"     "Same"     "Boys"   
 [86,] "g"  "Often"  "Both"     "Same"     "Boys"   
 [87,] "b"  "Rarely" "Both"     "Same"     "Boys"   
 [88,] "b"  "Often"  "Mental"   "Both"     "Boys"   
 [89,] "b"  "Rarely" "Mental"   "Same"     "Boys"   
 [90,] "b"  "Often"  "Mental"   "Same"     "Boys"   
 [91,] "b"  "Rarely" "Physical" "Same"     "Boys"   
 [92,] "b"  "Rarely" "Mental"   "Same"     "Boys"   
 [93,] "b"  "Often"  "Mental"   "Differnt" "Boys"   
 [94,] "g"  "Often"  "Both"     "Both"     "Boys"   
 [95,] "g"  "Often"  "Mental"   "Not_bul"  "Both"   
 [96,] "b"  "Rarely" "Physical" "Same"     "Boys"   
 [97,] "b"  "Often"  "Mental"   "Not_bul"  "Both"   
 [98,] "g"  "Rarely" "Mental"   "Same"     "Boys"   
 [99,] "g"  "Often"  "Not_bul"  "Same"     "Both"   
[100,] "b"  "Rarely" "Physical" "Differnt" "Boys"   
[101,] "g"  "Rarely" "Both"     "Both"     "Both"   
[102,] "g"  "Rarely" "Mental"   "Differnt" "Boys"   
[103,] "b"  "Rarely" "Mental"   "Differnt" "Boys"   
[104,] "b"  "Rarely" "Physical" "Differnt" "Boys"   
[105,] "g"  "Often"  "Both"     "Same"     "Both"   
> (table1 <- table(z[,cat1],z[,cat2]))
          
           Often Rarely
  Both        10     11
  Differnt    16     14
  Not_bul      4      4
  Same        22     24
> (V1<-dimnames(y)[[1]][cat1])
[1] "which_year"
> (V2<-dimnames(y)[[1]][cat2])
[1] "how_often_bullied"
> 
> #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/1fwxo1386672096.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1
X-squared = 0.2584, df = 3, p-value = 0.9677

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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2ier11386672096.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/3aojn1386672096.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  1.392   0.655   1.971