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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'
Names of X columns:
gender how_often_bullied type_of_bullying which_year gender_of_bully
Column Containing First Factor Variable
Column Containing Second Factor Variable
Type of Chi Square test to use
(?)
Pearson Chi-Square
Pearson Chi-Square
Exact Pearson Chi Square by simulation
R Code
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]) load(file='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='mytable.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$expected[nr, nc], digits=2), 1, FALSE) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Statistical Results',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a, cst$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='mytable2.tab')
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R Server
Big Analytics Cloud Computing Center
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