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Data X:
26 12.9 51 12.2 57 12.8 37 7.4 67 6.7 43 12.6 52 14.8 52 13.3 43 11.1 84 8.2 67 11.4 49 6.4 70 10.6 52 12 58 6.3 68 11.3 62 11.9 43 9.3 56 9.6 56 10 74 6.4 65 13.8 63 10.8 58 13.8 57 11.7 63 10.9 53 16.1 57 13.4 51 9.9 64 11.5 53 8.3 29 11.7 54 9 51 9.7 58 10.8 43 10.3 51 10.4 53 12.7 54 9.3 56 11.8 61 5.9 47 11.4 39 13 48 10.8 50 12.3 35 11.3 30 11.8 68 7.9 49 12.7 61 12.3 67 11.6 47 6.7 56 10.9 50 12.1 43 13.3 67 10.1 62 5.7 57 14.3 41 8 54 13.3 45 9.3 48 12.5 61 7.6 56 15.9 41 9.2 43 9.1 53 11.1 44 13 66 14.5 58 12.2 46 12.3 37 11.4 51 8.8 51 14.6 56 12.6 45 13 37 12.6 59 13.2 42 9.9 38 7.7 66 10.5 34 13.4 53 10.9 49 4.3 55 10.3 49 11.8 59 11.2 40 11.4 58 8.6 60 13.2 63 12.6 56 5.6 54 9.9 52 8.8 34 7.7 69 9 32 7.3 48 11.4 67 13.6 58 7.9 57 10.7 42 10.3 64 8.3 58 9.6 66 14.2 26 8.5 61 13.5 52 4.9 51 6.4 55 9.6 50 11.6 60 11.1 56 4.35 63 12.7 61 18.1 52 17.85 16 16.6 46 12.6 56 17.1 52 19.1 55 16.1 50 13.35 59 18.4 60 14.7 52 10.6 44 12.6 67 16.2 52 13.6 55 18.9 37 14.1 54 14.5 72 16.15 51 14.75 48 14.8 60 12.45 50 12.65 63 17.35 33 8.6 67 18.4 46 16.1 54 11.6 59 17.75 61 15.25 33 17.65 47 16.35 69 17.65 52 13.6 55 14.35 55 14.75 41 18.25 73 9.9 51 16 52 18.25 50 16.85 51 14.6 60 13.85 56 18.95 56 15.6 29 14.85 66 11.75 66 18.45 73 15.9 55 17.1 64 16.1 40 19.9 46 10.95 58 18.45 43 15.1 61 15 51 11.35 50 15.95 52 18.1 54 14.6 66 15.4 61 15.4 80 17.6 51 13.35 56 19.1 56 15.35 56 7.6 53 13.4 47 13.9 25 19.1 47 15.25 46 12.9 50 16.1 39 17.35 51 13.15 58 12.15 35 12.6 58 10.35 60 15.4 62 9.6 63 18.2 53 13.6 46 14.85 67 14.75 59 14.1 64 14.9 38 16.25 50 19.25 48 13.6 48 13.6 47 15.65 66 12.75 47 14.6 63 9.85 58 12.65 44 19.2 51 16.6 43 11.2 55 15.25 38 11.9 56 13.2 45 16.35 50 12.4 54 15.85 57 18.15 60 11.15 55 15.65 56 17.75 49 7.65 37 12.35 43 15.6 59 19.3 46 15.2 51 17.1 58 15.6 64 18.4 53 19.05 48 18.55 51 19.1 47 13.1 59 12.85 62 9.5 62 4.5 51 11.85 64 13.6 52 11.7 67 12.4 50 13.35 54 11.4 58 14.9 56 19.9 63 11.2 31 14.6 65 17.6 71 14.05 50 16.1 57 13.35 47 11.85 54 11.95 47 14.75 57 15.15 43 13.2 41 16.85 63 7.85 63 7.7 56 12.6 51 7.85 50 10.95 22 12.35 41 9.95 59 14.9 56 16.65 66 13.4 53 13.95 42 15.7 52 16.85 54 10.95 44 15.35 62 12.2 53 15.1 50 17.75 36 15.2 76 14.6 66 16.65 62 8.1
Names of X columns:
AMS.I TOT
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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