Wessa.net

Send output to:

Data X:
30 1 5 1 5 0 30 0 25 0 50 1 65 1 40 0 55 1 75 0 50 0 20 1 25 1 30 1 80 1 0 25 0 50 1 35 1 40 0 40 1 50 1 30 1 45 1 30 1 25 0 25 1 20 1 35 1 30 1 45 0 40 1 30 1 60 1 45 0 45 1 25 1 1 45 0 50 0 0 45 1 60 1 60 1 45 1 45 0 0 45 1 55 1 40 1 60 1 35 0 30 0 20 0 15 1 15 1 40 1 40 1 50 0 1 40 0 80 1 50 0 50 1 30 1 35 1 40 1 30 1 45 1 1 0 30 0 30 1 25 1 0 50 0 40 1 40 0 65 1 55 1 0 70 0 40 1 65 1 40 0 40 1 55 1 30 1 35 1 35 0 30 1 35 1 20 1 55 1 5 1 55 1 50 0 30 1 50 1 50 1 50 1 40 0 25 1 40 1 55 1 40 0 0 1 1 40 1 30 0 25 1 30 1 25 1 20 0 65 0 60 1 30 1 0 0 50 1 45 1 1 25 1 60 1 50 1 0 40 0 35 1 50 0 35 1 25 1 45 1 25 0 50 1 1 75 0 55 1 20 1 40 0 60 1 25 1 45 1 50 0 25 1 25 1 50 1 50 1 0 45 0 35 1 40 0 30 1 1 25 1 55 0 55 1 45 0 0 55 0 20 1 45 1 55 1 45 0 35 1 35 1 40 1 0 35 1 40 1 50 0 50 1 50 0 50 0 35 0 60 0 45 0 1 45 1 45 1 0 40 1 50 1 30 1 35 1 0 45 0 55 1 20 1 55 1 30 0 25 1 30 0 60 1 15 1 30 0 20 1 1 20 0 20 1 25 1 50 0 55 0 40 1 30 0 1 65 0 45 0 35 1 40 1 30 1 55 0 50 0 40 0 35 1 25 1 60 0 20 1 65 0 40 1 1 25 1 65 0 30 0 0 50 0 25 0 30 0 25 1 20 0 20 1 30 1 55 1 50 0 60 1 40 0 1 25 0 0 45 1 35 0 45 1 0 35 1 50 0 40 0 35 1 55 0 55 1 35 0 15 1 20 1 25 1 65 0 50 1 1 25 1 1 35 1 30 1 35 1 40 1 35 1 50 0 40 1 60 1 30 1 60 0 60 0 25 0 0 20 1 25 1 25 1 10 1 45 1 40 1 60 0 1 35 1 65 0 55 1 45 1 55 1 0 65 1 70 0 65 0 65 0 50 1 20 1 55 0 40 1 50 1 1 50 0 20 1 40 1 1 35 1 40 0 65 0 50 0 35 1 65 0 60 1 60 0 55 0 25 0 55 1 35 1 60 0 45 1 50 0 30 0 50 1 25 1 55 0 25 1 0 35 1 1 65 0 40 1 30 0 30 1 30 0 20 0 25 0 35 0 40 1 60 0 20 0 25 0 40 1 30 0 55 0 35 1 20 1 30 0 5 1 5 1 15 1 40 1 35 1 20 1 25 0 30 0 45 0 30 0 25 1 15 1 60 0 40 1 20 1 25 0 40 1 25 0 45 0 45 1 5 1 30 1 25 1 35 1 0 20 0 45 0 55 0 55 0 40 0 30 0 25 1 45 1 30 0 30 1 30 0 30 0 25 1 10 1 35 0 35 1 25 1 30 0 0 25 0 0 10 1 20 0 50 1 30 1 35 0 20 0 30 0 25 1 25 0 20 0 20 1 35 1 55 0 10 1 45 0 35 1 30 1 30 1 25 0 25 0 20 0 40 0 30 1 20 0 40 0 0 40 0 35 0 40 0 35 0 35 1 20 0 30 0 50 0 25 0 25 0 25 0 25 0 35 0 30 0 55 0 30 0 5 1 25 1 45 0 10 1 30 0 65 1 30 0 10 1 45 0 45 1 25 1 25 1 50 0 50 1 55 1 25 0 35 0 25 0 20 0 20 1 25 0 40 0 55 1 50 0 45 0 30 1 25 0 45 1 65 0 60 0 35 0 20 1 45 0 25 1 50 0 25 0 25 0 35 0 25 1 35 0 25 1 25 0 1 35 0 45 1 60 0 0 35 0 30 0 30 0 0 5 1 5 1 25 0 25 1 20 1 1 35 1 40 0 25 0 65 0 50 0 45 1 60 0 0 5 1 35 0 25 1 0 30 0 40 0 35 0 30 0 50 0 15 1 45 1 20 1 40 0 50 0 70 0 30 0 55 0 40 0 20 0 65 0 35 0 15 1 5 1 5 1 40 0 30 0 20 0 30 0 20 1 30 1 40 0 25 1 1 25 0 30 1 30 0 0 50 1 20 0 0 45 0 25 1 20 1 45 0 35 1 35 0 30 1 30 0 5 1 10 1 35 1 40 0 35 0 30 1 30 1 25 0 5 1 5 1 25 1 50 1 20 0 25 1 30 0 25 0 30 0 25 1 20 1 20 1 30 1 60 0 30 1 35 0 40 1 25 0 45 0 25 0 20 0 15 0 50 1 25 0 30 1 30 1 30 0 30 0 40 0 35 1 30 0 25 0 35 1 0 15 1 40 1 35 1 30 0 30 1 5 1 5 1 30 1 5 1 5 1 40 0 35 1 70 0 0 35 1 1 30 1 25 0 45 0 15 0 20 0 35 1 20 1 25 1 20 1 20 1 30 0 30 0 40 0 5 1 20 1 30 1 30 0 20 0 25 0 25 0 35 0 20 0 35 0 20 1 5 0 10 0 5 0 20 1 40 0 10 0 15 0 40 0 30 1 30 0 40 0 20 0 30 0 25 0 20 0 25 0 35 0 5 0 10 0 5 1 15 0 5 1 40 0 25 1 40 1 45 1 25 0 25 0 20 0 30 0 25 0 15 1 20 0 35 0 35 1 5 1 5 1 5 1 25 1 20 1 40 0 30 0 20 1 20 0 45 0 30 0 25 0 20 0 30 0 25 0 0 20 0 35 1 25 0 20 0 30 0 10 0 10 0 0 0 0 40 0 35 0 25 0 25 1 20 0 30 0 25 0 25 0 35 0 20 0 25 1 20 0 20 0 25 0 30 0 20 0 40 0 20 0 20 0 25 0 25 0 25 0 0 0 30 0 25 0 20 1 40 0 30 0 25 0 25 0 35 1 30 0 30 0 20 0 20 0 20 1 25 0 40 0 25 0 35 0 35 0 25 1 30 0 75 0 45 0 35 0 30 0 20 0 30 0 10 1 5 1 40 1 60 0 20 0 20 1 45 0 20 0 25 0 45 1 25 0 20 0 30 1 30 1 5 0 35 0 30 0 30 0 25 0 25 0 25 0 25 0 20 0 0 1 40 1 40 1 30 1 20 0 5 1 5 1 30 0 35 1 25 0 0 0 25 0 40 0 20 1 20 0 45 0 45 0 0 35 0 20 1 30 1 25 0 25 1 35 0 65 0 25 1 25 0 25 1 20 0 20 0 45 0 0 40 0 20 0 15 0 50 0 5 1 0 45 0 45 0 1 20 0 0 0 0 30 0 0 1 25 0 10 0 0 20 0 20 0 50 0 0 0 25 0 0 0 25 0 20 1 1 10 1 35 0 45 0 35 1 40 0 10 0 5 0 15 0 10 0 20 0 15 0 40 0 45 0 55 0 35 0 0 20 0 40 0 30 0 20 0 25 0 20 0 0 0 30 0 25 1 20 0 25 0 45 0 30 0 25 0 45 1 0 25 0 0 15 0 1 30 1 1 20 0 30 1 25 0 25 1 30 0 30 0 0 5 1 25 1 45 0 30 0 30 1 0 1 45 0 1 30 0 0 30 0 25 0 0 30 1 25 1 0 20 0 50 0 20 0 1 1 35 0 30 1 25 0 35 0 35 0 30 0 5 1 5 1 50 0 35 0 20 0 30 1 0 0 0 0 25 0 35 1 30 0 20 0 25 0 35 1 20 0 25 0 30 0 25 1 35 0 25 0 5 1 40 1 0 20 0 0 0 1 1 35 0 45 0 1 0 0 0 0 0 25 0 30 0 5 1 30 1 30 1 5 0 20 0 40 0 0 25 1 0 40 0 0 1 0 25 1 0 30 1 30 0 30 0 25 0 25 1 0 0 0 0 0 35 0 35 0 0 0 40 0 40 0 25 0 25 0 45 0 40 0 30 0 20 1 0 30 0 0 30 0 30 0 0 25 0 30 1 55 0 25 1 35 1 0 0 1 25 1 25 0 0 0 0 30 0 1 35 0 1 0 35 0 35 0 1 0 1 1 1 1 1 1 0 1 15 1 35 0 0 25 0 20 0 0 0 0 60 0 0 25 1 0 25 0 25 0 30 0 0 1 25 0 10 1 30 1 0 1 0 0 35 0 0 1 1 1 1 1 0 1 25 1 0 1 1 1 20 0 25 0 15 1 5 1 20 1 20 1 35 0 0 0 0 0 15 1 15 1 30 0 30 0 20 1 30 1 25 0 45 0 40 1 25 0 30 0 25 1 65 0 0 0 1 0 0 0 25 0 0 1 1 25 1 1 1 10 1 30 0 45 0 0 35 0 30 0 35 1 20 0 25 0 20 0 20 0 20 0 35 1 0 0 5 0 10 0 5 0 10 0 30 0 5 0 10 0 5 0 20 0 15 0 45 0 25 0 20 0 0 35 0 5 0 5 0 30 0 0 0 0 25 0 25 0 25 0 25 1 1 1 1 0 25 0 30 0 20 0 0 0 25 0 20 0 35 1 0 20 0 25 0 0 0 0 0 40 0 25 0 10 0 5 0 10 0 5 0 10 0 40 0 25 0 35 0 1 0 0 50 0 50 0 0 0 5 0 20 0 45 0 1 50 0 20 0 1 0 0 25 0 0 0 0 40 0 0 15 0 0 0 0 0 0 0 0 0 0 25 0 25 1 40 0 0 0 0 5 1 25 1 5 1 25 1 20 0 25 0 0 0 0 30 1 0 1 0 0 25 0 0 40 0 25 0 20 1 5 0 10 0 10 0 5 0 40 0 45 0 0 0 0 0 1 20 0 30 0 0 35 0 0 35 0 25 1 25 0 65 0 20 0 25 0 35 1 30 0 5 0 30 0 20 1 45 1 25 0 75 0 15 1 25 0 25 1 35 0 5 1 0 0 0 20 1 0 0 1 35 0 0 0 35 0 45 0 0 0 25 1 0 10 1 10 1 30 1 40 0 20 1 65 1 0 15 0 45 0 10 0 40 0 30 0 0 35 0 30 0 30 0 50 0 20 0 35 0 20 0 35 0 25 1 20 0 15 0 25 0 25 0 0 0 0 35 0 40 1 55 0 20 0 25 0 50 1 0 0 0 30 0 25 0 30 0 0 0 40 0 30 0 15 1 50 0 0 0 15 0 0 30 0 30 0 0
Names of X columns:
age survived
Factor 1


Factor 2


Type of test to use (?)


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 != 'McNemar Chi-Squared') { 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) a<-table.element(a, 'Chi Square Statistic', 1, TRUE) a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE) a<-table.row.end(a) if(!simulate.p.value){ a<-table.row.start(a) a<-table.element(a, 'Degrees of Freedom', 1, TRUE) a<-table.element(a, cst$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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.
R Engine error message	Error in list(30, 1, 5, 1, 5, 0, 30, 0, 25, 0, 50, 1, 65, 1, 40, 0, 55, : argument 31 is empty Calls: array Execution halted