[R] suggestion for proportions

[Bert Gunter]

Oh ... I should have added that either option could be handled by
glm(), of course (provided that you're willing to accept the
approximate tests).

But this is getting OT.

-- Bert

On Wed, Sep 7, 2011 at 7:28 AM, Viechtbauer Wolfgang (STAT)
<wolfgang.viechtbauer at maastrichtuniversity.nl> wrote:
> Acutally,
>
> ?mcnemar.test
>
> since it is paired data.
>
> Best,
>
> Wolfgang
>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
>> On Behalf Of Bert Gunter
>> Sent: Wednesday, September 07, 2011 15:34
>> To: John Sorkin
>> Cc: r-help at r-project.org
>> Subject: Re: [R] suggestion for proportions
>>
>> Please! ...  ?prop.test
>>
>> not t tests.
>>
>> -- Bert
>>
>> --
>>
>> On Wed, Sep 7, 2011 at 4:21 AM, John Sorkin <JSorkin at grecc.umaryland.edu>
>> wrote:
>> > >From you description, you should not used a paired Student's t-test.
>> One uses a paired test when pairs of observations come from the same
>> experimental unit (and thus are correlated). You describe a study where
>> each experimental unit is tested once and where there are two independent
>> groups of experimental units. Look at t.test (i.e. enter ?t.test).
>> > John
>> >
>> >>>> array chip <arrayprofile at yahoo.com> 9/7/2011 4:11 AM >>>
>> > Hi, I am wondering if anyone can suggest how to test the equality of 2
>> proportions. The caveat here is that the 2 proportions were calculated
>> from the same number of samples using 2 different tests. So essentially we
>> are comparing 2 accuracy rates from same, say 100, samples. I think this
>> is like a paired test, but don't know if really we need to consider the
>> "paired" nature of the data, and if yes then how? Or just use prop.test()
>> to compare 2 proportions?
>> >
>> > Any suggestion would be greatly appreciated.
>> >
>> > Thanks
>> >
>> > John
>
>