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Data X:
12.9 13 12.2 8 12.8 14 7.4 16 6.7 14 12.6 13 14.8 15 13.3 13 11.1 20 8.2 17 11.4 15 6.4 16 10.6 12 12 17 6.3 11 11.3 16 11.9 16 9.3 15 9.6 13 10 14 6.4 19 13.8 16 10.8 17 13.8 10 11.7 15 10.9 14 16.1 14 13.4 16 9.9 15 11.5 17 8.3 14 11.7 16 9 15 9.7 16 10.8 16 10.3 10 10.4 8 12.7 17 9.3 14 11.8 10 5.9 14 11.4 12 13 16 10.8 16 12.3 16 11.3 8 11.8 16 7.9 15 12.7 8 12.3 13 11.6 14 6.7 13 10.9 16 12.1 19 13.3 19 10.1 14 5.7 15 14.3 13 8 10 13.3 16 9.3 15 12.5 11 7.6 9 15.9 16 9.2 12 9.1 12 11.1 14 13 14 14.5 13 12.2 15 12.3 17 11.4 14 8.8 11 14.6 9 12.6 7 13 15 12.6 12 13.2 15 9.9 14 7.7 16 10.5 14 13.4 13 10.9 16 4.3 13 10.3 16 11.8 16 11.2 16 11.4 10 8.6 12 13.2 12 12.6 12 5.6 12 9.9 19 8.8 14 7.7 13 9 16 7.3 15 11.4 12 13.6 8 7.9 10 10.7 16 10.3 16 8.3 10 9.6 18 14.2 12 8.5 16 13.5 10 4.9 14 6.4 12 9.6 11 11.6 15 11.1 7 4.35 16 12.7 16 18.1 16 17.85 16 16.6 12 12.6 15 17.1 14 19.1 15 16.1 16 13.35 13 18.4 10 14.7 17 10.6 15 12.6 18 16.2 16 13.6 20 18.9 16 14.1 17 14.5 16 16.15 15 14.75 13 14.8 16 12.45 16 12.65 16 17.35 17 8.6 20 18.4 14 16.1 17 11.6 6 17.75 16 15.25 15 17.65 16 16.35 16 17.65 14 13.6 16 14.35 16 14.75 16 18.25 14 9.9 14 16 16 18.25 16 16.85 15 14.6 16 13.85 16 18.95 18 15.6 15 14.85 16 11.75 16 18.45 16 15.9 17 17.1 14 16.1 18 19.9 9 10.95 15 18.45 14 15.1 15 15 13 11.35 16 15.95 20 18.1 14 14.6 12 15.4 15 15.4 15 17.6 15 13.35 16 19.1 11 15.35 16 7.6 7 13.4 11 13.9 9 19.1 15 15.25 16 12.9 14 16.1 15 17.35 13 13.15 13 12.15 12 12.6 16 10.35 14 15.4 16 9.6 14 18.2 15 13.6 10 14.85 16 14.75 14 14.1 16 14.9 12 16.25 16 19.25 16 13.6 15 13.6 14 15.65 16 12.75 11 14.6 15 9.85 18 12.65 13 19.2 7 16.6 7 11.2 17 15.25 18 11.9 15 13.2 8 16.35 13 12.4 13 15.85 15 18.15 18 11.15 16 15.65 14 17.75 15 7.65 19 12.35 16 15.6 12 19.3 16 15.2 11 17.1 16 15.6 15 18.4 19 19.05 15 18.55 14 19.1 14 13.1 17 12.85 16 9.5 20 4.5 16 11.85 9 13.6 13 11.7 15 12.4 19 13.35 16 11.4 17 14.9 16 19.9 9 11.2 11 14.6 14 17.6 19 14.05 13 16.1 14 13.35 15 11.85 15 11.95 14 14.75 16 15.15 17 13.2 12 16.85 15 7.85 17 7.7 15 12.6 10 7.85 16 10.95 15 12.35 11 9.95 16 14.9 16 16.65 16 13.4 14 13.95 14 15.7 16 16.85 16 10.95 18 15.35 14 12.2 20 15.1 15 17.75 16 15.2 16 14.6 16 16.65 12 8.1 8
Names of X columns:
TOT CONFSTATTOT
Factor 1
Factor 2
Type of test to use
(?)
Pearson Chi-Squared
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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