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Data X:
'USA' 33 'Duitsland' 14 'Canada' 33 'Japan' 53 'Canada' 32 'Japan' 17 'Japan' 39 'Canada' 53 'Japan' 12 'USA' 10 'Japan' 34 'Canada' 51 'Japan' 22 'Canada' 24 'Canada' 7 'USA' 22 'USA' 7 'Canada' 16 'Canada' 47 'Belgi�' 7 'Japan' 31 'Belgi�' 26 'Japan' 8 'Belgi�' 10 'Belgi�' 30 'Belgi�' 45 'Japan' 11 'Belgi�' 24 'Japan' 30 'USA' 31 'Duitsland' 23 'Japan' 37 'USA' 31 'Canada' 23 'Duitsland' 17 'Japan' 47 'Canada' 39 'Japan' 9 'Belgi�' 48 'Japan' 28 'Belgi�' 12 'Canada' 31 'Duitsland' 30 'Japan' 44 'Belgi�' 25 'Belgi�' 34 'Japan' 34 'Japan' 34 'Belgi�' 30 'Japan' 30 'Japan' 19 'Belgi�' 46 'Duitsland' 48 'Frankrijk' 24 'Canada' 39 'Belgi�' 22 'Japan' 28 'Belgi�' 21 'Japan' 18 'Belgi�' 36 'Duitsland' 29 'USA' 24 'Japan' 31 'Duitsland' 28 'USA' 37 'Japan' 33 'Canada' 31 'USA' 49 'USA' 42 'Japan' 29 'Frankrijk' 31 'Canada' 33 'Belgi�' 32 'Belgi�' 25 'Japan' 16 'Japan' 35 'Canada' 44 'Canada' 30 'Japan' 52 'Japan' 35 'USA' 11 'USA' 36 'Japan' 32 'Canada' 42 'Japan' 11 'Duitsland' 47 'Japan' 32 'Duitsland' 30 'USA' 51 'Canada' 10 'Canada' 22 'Belgi�' 32 'Belgi�' 52 'Duitsland' 52 'USA' 11 'Japan' 27 'Canada' 42 'Japan' 30 'Japan' 6 'Belgi�' 1 'Belgi�' 26 'Japan' 32 'USA' 36 'Duitsland' 26 'Canada' 49 'Duitsland' 39 'Belgi�' 14 'Canada' 35 'Frankrijk' 2 'Japan' 21 'Canada' 32 'Duitsland' 14 'USA' 33 'Japan' 16 'Japan' 15 'Duitsland' 30 'Japan' 2 'USA' 24 'Canada' 27 'Canada' 38 'Canada' 14 'Japan' 38 'Japan' 26 'Japan' 8 'Duitsland' 21 'Belgi�' 22 'Japan' 19 'Belgi�' 40 'Belgi�' 22 'USA' 25 'Canada' 47 'Belgi�' 46 'Japan' 25 'USA' 26 'Belgi�' 56 'Japan' 58 'Japan' 11 'Belgi�' 8 'Japan' 36 'Canada' 28
Names of X columns:
Landen Totale_consumptie
Factor 1
Factor 2
Type of test to use
(?)
Pearson Chi-Squared
Exact Pearson Chi-Squared by Simulation
McNemar Chi-Squared
Fisher Exact Test
Chart options
Title:
R Code
library(vcd) cat1 <- as.numeric(par1) # cat2<- as.numeric(par2) # simulate.p.value=FALSE if (par3 == 'Exact Pearson Chi-Squared 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]) bitmap(file='pic1.png') assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T) dev.off() 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) ) if (par3 == 'McNemar Chi-Squared') { (cst <- mcnemar.test(table1)) } if (par3=='Fisher Exact Test') { (cst <- fisher.test(table1)) } if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) { 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) if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE) if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE) if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE) if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE) if (par3=='Fisher Exact Test') { if ((ncol(table1) == 2) & (nrow(table1) == 2)) { a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE) } else { a<-table.element(a, '--', 1,FALSE) } } else { a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE) } a<-table.row.end(a) if(!simulate.p.value){ if(par3!='Fisher Exact Test') { 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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