Peter: Bravo!

On Mon, Apr 4, 2016 at 10:10 AM, peter dalgaard <pda...@gmail.com> wrote:
> That's not an R question but a stats question, but I wouldn't do it. For one 
> thing: The variance of binary data is a function of the mean, so the research 
> question is dubious in the first place. Secondly, the test is based on 
> ranking and comparing absolute differences from the group median, which for 
> binary data is generally 0 or 1, so all absolute differences will be 1....



"Put differently, the results are more than likely to be complete rubbish."

Again, probably not appropriate, but anyway:
Fortune Nomination!

Cheers,
Bert


>
> -pd
>
>> On 04 Apr 2016, at 11:48 , emeline mourocq <emeline.mour...@uzh.ch> wrote:
>>
>> Hello,
>>
>>
>>
>> I investigate survival until the following year (0,1) and I wish to test if
>> the variance in survival for two or more groups are significantly different
>> from each other.
>>
>>
>>
>> I read that the Fligner-Killeen test is a non-parametric test which is very
>> robust against departures from normality but is it correct (valuable
>> technique for publication) to use it on binary data?
>>
>>
>>
>> In other words, can I use
>> fligner.test(survival~categorical_predictor,data=mydata) when survival is
>> binary (0,1)?
>>
>>
>>
>> Best regards
>>
>> Emeline
>>
>>
>>
>>
>>
>> ---
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>
> --
> Peter Dalgaard, Professor,
> Center for Statistics, Copenhagen Business School
> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
> Phone: (+45)38153501
> Office: A 4.23
> Email: pd....@cbs.dk  Priv: pda...@gmail.com
>
> ______________________________________________
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