R help - Aug 2016 - [Friedmann test for 2 factor mixed design] I need your help.I trying to do non-parametric 2way anova

Hi!
 
I'm trying to do the non-parametric test for 2 factor mixed anova. 
 
I got 2 factors, one is within-subject factor, AGE(2levels), and the other is
between-subject factor, Speed(6levels).
One dependent variables, RT.
 
The data, I got, is not satisfied with the normality and homogeneity of
variance.


So I tried to do the non-parametric test and use the Friedmann test
function(friedman.test) in R .


and I got the error message as below.. 
"Error in friedman.test.default(RT, Speed, AGE) : 
friedman.test error: not an unreplicated complete block design"
 
How can I deal with this problem? 
Please help  
 
Thanks!
 
Kind regards, 
 
Ahreum 


 

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> On Aug 22, 2016, at 11:33 PM, ??? <judyoringe at naver.com> wrote:
> 
> 
> Hi!
> 
> I'm trying to do the non-parametric test for 2 factor mixed anova. 
> 
> I got 2 factors, one is within-subject factor, AGE(2levels), and the other
is between-subject factor, Speed(6levels).
> One dependent variables, RT.
> 
> The data, I got, is not satisfied with the normality and homogeneity of
variance.
Those conditions are not applicable to the data but rather on
residuals.
> 
> 
> So I tried to do the non-parametric test and use the Friedmann test
function(friedman.test) in R .
> 
> 
> and I got the error message as below.. 
> "Error in friedman.test.default(RT, Speed, AGE) : 
> friedman.test error: not an unreplicated complete block design"
> 
> How can I deal with this problem? 
Depending on the severity of lack of homogeneity of variance on residuals, you
may (or may not)  need to consider robust methods.

https://cran.r-project.org/web/views/Robust.html
> Please help  
> 
> Thanks!
> 
> Kind regards, 
> 
> Ahreum 
> 
> 
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