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Data X:
41 38 14 12 39 32 18 11 30 35 11 14 31 33 12 12 34 37 16 21 35 29 18 12 39 31 14 22 34 36 14 11 36 35 15 10 37 38 15 13 38 31 17 10 36 34 19 8 38 35 10 15 39 38 16 14 33 37 18 10 32 33 14 14 36 32 14 14 38 38 17 11 39 38 14 10 32 32 16 13 32 33 18 7 31 31 11 14 39 38 14 12 37 39 12 14 39 32 17 11 41 32 9 9 36 35 16 11 33 37 14 15 33 33 15 14 34 33 11 13 31 28 16 9 27 32 13 15 37 31 17 10 34 37 15 11 34 30 14 13 32 33 16 8 29 31 9 20 36 33 15 12 29 31 17 10 35 33 13 10 37 32 15 9 34 33 16 14 38 32 16 8 35 33 12 14 38 28 12 11 37 35 11 13 38 39 15 9 33 34 15 11 36 38 17 15 38 32 13 11 32 38 16 10 32 30 14 14 32 33 11 18 34 38 12 14 32 32 12 11 37 32 15 12 39 34 16 13 29 34 15 9 37 36 12 10 35 34 12 15 30 28 8 20 38 34 13 12 34 35 11 12 31 35 14 14 34 31 15 13 35 37 10 11 36 35 11 17 30 27 12 12 39 40 15 13 35 37 15 14 38 36 14 13 31 38 16 15 34 39 15 13 38 41 15 10 34 27 13 11 39 30 12 19 37 37 17 13 34 31 13 17 28 31 15 13 37 27 13 9 33 36 15 11 37 38 16 10 35 37 15 9 37 33 16 12 32 34 15 12 33 31 14 13 38 39 15 13 33 34 14 12 29 32 13 15 33 33 7 22 31 36 17 13 36 32 13 15 35 41 15 13 32 28 14 15 29 30 13 10 39 36 16 11 37 35 12 16 35 31 14 11 37 34 17 11 32 36 15 10 38 36 17 10 37 35 12 16 36 37 16 12 32 28 11 11 33 39 15 16 40 32 9 19 38 35 16 11 41 39 15 16 36 35 10 15 43 42 10 24 30 34 15 14 31 33 11 15 32 41 13 11 32 33 14 15 37 34 18 12 37 32 16 10 33 40 14 14 34 40 14 13 33 35 14 9 38 36 14 15 33 37 12 15 31 27 14 14 38 39 15 11 37 38 15 8 33 31 15 11 31 33 13 11 39 32 17 8 44 39 17 10 33 36 19 11 35 33 15 13 32 33 13 11 28 32 9 20 40 37 15 10 27 30 15 15 37 38 15 12 32 29 16 14 28 22 11 23 34 35 14 14 30 35 11 16 35 34 15 11 31 35 13 12 32 34 15 10 30 34 16 14 30 35 14 12 31 23 15 12 40 31 16 11 32 27 16 12 36 36 11 13 32 31 12 11 35 32 9 19 38 39 16 12 42 37 13 17 34 38 16 9 35 39 12 12 35 34 9 19 33 31 13 18 36 32 13 15 32 37 14 14 33 36 19 11 34 32 13 9 32 35 12 18 34 36 13 16
Names of X columns:
Connected Separate Happiness Depression
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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R Server
Big Analytics Cloud Computing Center
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