> On Mar 10, 2017, at 3:22 AM, Vasillis Papathanasiou <

[hidden email]> wrote:

>

> I�m running a mixed model analysis with 2 fixed factors that are intercorrelated using the lme function and I�m having difficulties in interpreting the results.

> As I�m quite novice I�ll try to use a very simple example.

I'm guessing this is perhaps the `lme` function in pkg:nlme. It's not really an appropriate question for rhelp in any event. See the Posting Guide (link below).

>

> My model is lme(Y~A*B). A has 3 levels (1, 2 and 3) and B has 2 levels (I and II).

> My results are something like this:

>

Better to include actual output. I think most statisticians would advise focussing on model comparisons rather than p-values of individual coefficients.

The experts hang out at:

https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models... and they tend to be more welcoming for "interpretation" questions.

Or post to CrossValidated.com where this would be on topic. That group generally tries to avoid purely R questions, but your question is so devoid of actual R (no code and no actual output) that it would probably not be closed for that reason.

Best;

David.

>

>

> P statistic

>

> B:II

>

> P=0.01

>

> A:2

>

> P=0.01

>

> A:3

>

> P=0.09

>

> II*2

>

> P=0.61

>

> II*3

>

> P=0.031

>

>

> My question is as follows. I understand that R keeps a level of each factor and reports any statistical differences to it. So in this example it reports that II is different than I and 2 against 3. However when it comes to the intercorrelation, what does it report? Does it compare II*2 and II*3 to II*1 and if so what happens with I*2 and I*3? Or does it compare II*2 to I*2 and II*3 to I*3 and if so what happens to I*1 and II*1?

>

> Thank you

>

>

> Vasillis

>

>

> [[alternative HTML version deleted]]

>

> ______________________________________________

>

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

>

https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide

http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.

David Winsemius

Alameda, CA, USA

______________________________________________

[hidden email] mailing list -- To UNSUBSCRIBE and more, see

https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.