Displaying 3 results from an estimated 3 matches for "myresultsi".
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myresults
2017 Nov 24
2
Multiple sets of proportion tests
...variable I variable II Variable III ......... 200
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 col...
2017 Nov 24
0
Multiple sets of proportion tests
...II Variable III ......... 200
>
> 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 t...
2017 Nov 24
1
Multiple sets of proportion tests
...II Variable III ......... 200
>
> 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 t...