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