x <- array(list('g'
,'Often'
,'Both'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Physical'
,'Same'
,'Boys'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'b'
,'Not_bul'
,'Physical'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Physical'
,'Differnt'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Same'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Mental'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Mental'
,'Both'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Same'
,'Both'
,'b'
,'Often'
,'Both'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'b'
,'Rarely'
,'Both'
,'Both'
,'Boys'
,'b'
,'Not_bul'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Not_bul'
,'Differnt'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Same'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Differnt'
,'Girls'
,'b'
,'Often'
,'Both'
,'Differnt'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Boys'
,'b'
,'Rarely'
,'Both'
,'Differnt'
,'Boys'
,'b'
,'Often'
,'Both'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Both'
,'Same'
,'Both'
,'g'
,'Often'
,'Mental'
,'Differnt'
,'Both'
,'b'
,'Often'
,'Both'
,'Differnt'
,'Both'
,'g'
,'Rarely'
,'Physical'
,'Differnt'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Differnt'
,'Both'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Both'
,'Same'
,'Girls'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Mental'
,'Differnt'
,'Girls'
,'g'
,'Often'
,'Both'
,'Differnt'
,'Both'
,'b'
,'Rarely'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Both'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'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'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Physical'
,'Same'
,'Boys'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Both'
,'Both'
,'Both'
,'g'
,'Rarely'
,'Mental'
,'Both'
,'Both'
,'g'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'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'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Both'
,'g'
,'Not_bul'
,'Mental'
,'Same'
,'Both'
,'g'
,'Often'
,'Physical'
,'Differnt'
,'Both'
,'b'
,'Often'
,'Not_bul'
,'Same'
,'Boys'
,'b'
,'Often'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Mental'
,'Same'
,'Not_bul'
,'b'
,'Often'
,'Mental'
,'Differnt'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Both'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Mental'
,'Not_bul'
,'Both'
,'g'
,'Often'
,'Both'
,'Both'
,'Girls'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Often'
,'Mental'
,'Both'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Both'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Often'
,'Both'
,'Same'
,'Girls'
,'g'
,'Rarely'
,'Physical'
,'Same'
,'Boys'
,'b'
,'Often'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Both'
,'Both'
,'Boys'
,'b'
,'Often'
,'Not_bul'
,'Both'
,'Boys'
,'b'
,'Rarely'
,'Physical'
,'Same'
,'Boys'
,'b'
,'Not_bul'
,'Both'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Both'
,'Both'
,'Boys'
,'b'
,'Rarely'
,'Both'
,'Both'
,'Boys'
,'b'
,'Often'
,'Physical'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Mental'
,'Both'
,'Boys'
,'g'
,'Rarely'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Rarely'
,'Both'
,'Both'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'b'
,'Rarely'
,'Physical'
,'Same'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Both'
,'Both'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Both'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Mental'
,'Differnt'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Both'
,'Boys'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Boys'
,'g'
,'Often'
,'Mental'
,'Same'
,'Girls'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Same'
,'Girls'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Both'
,'Same'
,'Boys'
,'g'
,'Often'
,'Both'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Both'
,'Same'
,'Boys'
,'b'
,'Often'
,'Mental'
,'Both'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Mental'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Mental'
,'Same'
,'Boys'
,'b'
,'Rarely'
,'Physical'
,'Same'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Same'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Often'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Often'
,'Both'
,'Both'
,'Boys'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'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'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'b'
,'Rarely'
,'Mental'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'b'
,'Rarely'
,'Physical'
,'Differnt'
,'Boys'
,'g'
,'Not_bul'
,'Mental'
,'Not_bul'
,'Not_bul'
,'g'
,'Often'
,'Both'
,'Same'
,'Both'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'g'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'b'
,'Not_bul'
,'Not_bul'
,'Not_bul'
,'Not_bul')
,dim=c(5
,193)
,dimnames=list(c('gender'
,'how_often_bullied'
,'type_of_bullying'
,'which_year'
,'gender_of_bully')
,1:193))
 y <- array(NA,dim=c(5,193),dimnames=list(c('gender','how_often_bullied','type_of_bullying','which_year','gender_of_bully'),1:193))
 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 = '3'
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,]))))
(table1 <- table(z[,cat1],z[,cat2]))
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])

#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/1snit1354597025.tab") 
(cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )
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$expected[nr, nc], digits=2), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/2cn9f1354597025.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Statistical Results',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, cst$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/3iush1354597025.tab")