Maybe Friedman test

On Mon, Sep 6, 2010 at 4:47 PM, David Winsemius <dwinsem...@comcast.net>wrote:

> The usual least-squares methods are fairly robust to departures from
> normality. Furthermore, it is the residuals that are assumed to be normally
> distributed (not the marginal distributions that you are probably looking
> at) , so it does not sound as though you have yet examined the data
> properly. Tell us what the descriptive stats (say the means, variance, 10th
> and 90th percentiles) are on the residuals within cells cross-classified by
> the gender and city-of-birth variables (say the means, variance, 10th and
> 90th percentiles).
>
>
> On Sep 6, 2010, at 4:34 PM, Iasonas Lamprianou wrote:
>
>
>> Dear friends, two questions
>>
>> (1) does anyone know if there are any non-parametric equivalents of the
>> two-way ANOVA in R? I have an ordinal non-normally distributed dependent
>> variable and two factors (gender and city of birth). Normally, one would try
>> a two-way anova, but if R has any non-parametric equivalents, that might be
>> great.
>>
>
> There is an entire task view page on robust methods if you decide to press
> on with this quest.
>
>
>  (2) Also, if the interaction of gender and city of birth is statistically
>> significant, which post-hoc tests should I run?
>>
>
> How many cities are we talking about?
>
>
>  Thanks
>>
>> Jason
>>
>>
>> Dr. Iasonas Lamprianou
>>
>
> --
>
> David Winsemius, MD
> West Hartford, CT
>
>
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