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Data X:
0 12.9 0 7.4 1 12.2 0 12.8 1 7.4 1 6.7 1 12.6 0 14.8 1 13.3 1 11.1 1 8.2 1 11.4 1 6.4 1 10.6 0 12.0 0 6.3 0 11.3 1 11.9 0 9.3 1 9.6 0 10.0 1 6.4 1 13.8 0 10.8 1 13.8 1 11.7 1 10.9 1 16.1 0 13.4 1 9.9 0 11.5 0 8.3 0 11.7 1 6.1 1 9.0 1 9.7 1 10.8 1 10.3 0 10.4 1 12.7 1 9.3 0 11.8 1 5.9 1 11.4 1 13.0 1 10.8 1 12.3 0 11.3 1 11.8 1 7.9 0 12.7 1 12.3 1 11.6 1 6.7 1 10.9 1 12.1 1 13.3 1 10.1 0 5.7 1 14.3 0 8.0 1 13.3 1 9.3 0 12.5 0 7.6 1 15.9 0 9.2 1 9.1 0 11.1 1 13.0 1 14.5 0 12.2 0 12.3 0 11.4 0 8.8 1 14.6 1 7.3 0 12.6 1 NA 0 13.0 1 12.6 0 13.2 0 9.9 1 7.7 0 10.5 0 13.4 0 10.9 1 4.3 0 10.3 1 11.8 1 11.2 0 11.4 0 8.6 0 13.2 1 12.6 1 5.6 1 9.9 0 8.8 1 7.7 0 9.0 1 7.3 1 11.4 1 13.6 1 7.9 1 10.7 0 10.3 1 8.3 1 9.6 1 14.2 0 8.5 0 13.5 0 4.9 0 6.4 0 9.6 0 11.6 1 11.1 1 4.35 1 12.7 1 18.1 1 17.85 0 16.6 1 12.6 1 17.1 0 19.1 1 16.1 0 13.35 0 18.4 1 14.7 1 10.6 1 12.6 1 16.2 1 13.6 1 18.9 1 14.1 1 14.5 0 16.15 1 14.75 1 14.8 1 12.45 1 12.65 1 17.35 1 8.6 0 18.4 1 16.1 1 11.6 1 17.75 1 15.25 1 17.65 0 15.6 0 16.35 0 17.65 1 13.6 0 11.7 0 14.35 0 14.75 1 18.25 0 9.9 1 16 1 18.25 0 16.85 1 14.6 1 13.85 1 18.95 0 15.6 0 14.85 0 11.75 0 18.45 1 15.9 0 17.1 1 16.1 0 19.9 1 10.95 0 18.45 1 15.1 0 15 0 11.35 1 15.95 0 18.1 1 14.6 1 15.4 1 15.4 1 17.6 1 13.35 0 19.1 1 15.35 0 7.6 0 13.4 0 13.9 1 19.1 0 15.25 1 12.9 0 16.1 0 17.35 0 13.15 0 12.15 1 12.6 1 10.35 1 15.4 1 9.6 0 18.2 0 13.6 1 14.85 0 14.75 0 14.1 0 14.9 0 16.25 1 19.25 1 13.6 0 13.6 0 15.65 1 12.75 0 14.6 1 9.85 1 12.65 1 11.9 0 19.2 1 16.6 1 11.2 1 15.25 0 11.9 0 13.2 0 16.35 1 12.4 1 15.85 0 14.35 1 18.15 1 11.15 0 15.65 0 17.75 0 7.65 1 12.35 1 15.6 0 19.3 0 15.2 0 17.1 1 15.6 1 18.4 0 19.05 0 18.55 0 19.1 1 13.1 1 12.85 1 9.5 1 4.5 0 11.85 1 13.6 1 11.7 1 12.4 0 13.35 0 11.4 1 14.9 0 19.9 1 17.75 1 11.2 1 14.6 0 17.6 1 14.05 0 16.1 1 13.35 1 11.85 0 11.95 1 14.75 0 15.15 1 13.2 0 16.85 1 7.85 0 7.7 0 12.6 1 7.85 1 10.95 0 12.35 1 9.95 1 14.9 0 16.65 1 13.4 0 13.95 0 15.7 1 16.85 1 10.95 0 15.35 1 12.2 0 15.1 0 17.75 1 15.2 0 14.6 0 16.65 1 8.1
Names of X columns:
gender TOT
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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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