search for: myresultsii

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2017 Nov 24
2
Multiple sets of proportion tests
...Freq.of cases (gp I) 6493 9375 5524 Freq. of cases (gpII) 509 462 54 The result I need for the first column can be given using this code : MyResultsI <- prop.test(Mydata$variable I ,c(200,100)) for the second column :- MyResultsII <- prop.test(Mydata$variable II ,c(200,100)) and so on .. I need to do the analysis for all columns and have only the columns with significant p-value results to be written in the the third row under each column so the final output has to be something like this :-...
2017 Nov 24
0
Multiple sets of proportion tests
...5524 > > Freq. of cases (gpII) 509 462 54 > > > > The result I need for the first column can be given using this code : > > > MyResultsI <- prop.test(Mydata$variable I ,c(200,100)) > for the second column :- > MyResultsII <- prop.test(Mydata$variable II ,c(200,100)) and so on .. > > > I need to do the analysis for all columns and have only the columns with significant p-value results to be written in the the third row under each column so the final output has to be something like this :- > > >...
2017 Nov 24
1
Multiple sets of proportion tests
...5524 > > Freq. of cases (gpII) 509 462 54 > > > > The result I need for the first column can be given using this code : > > > MyResultsI <- prop.test(Mydata$variable I ,c(200,100)) > for the second column :- > MyResultsII <- prop.test(Mydata$variable II ,c(200,100)) and so on .. > > > I need to do the analysis for all columns and have only the columns with significant p-value results to be written in the the third row under each column so the final output has to be something like this :- > > >...