I am assuming that you are referring to your emails from last October and last 
month regarding nlme.

A) Read the Posting Guide, which mentions things like the fact that you should 
set your email program to send plain text when posting on this mailing list , 
and that there is a dedicated R-sig-mixed-models mailing list where questions 
about nlme would be more on topic. (The plain text thing is important to avoid 
us receiving a corrupted version of what you sent, so it is important if we are 
to understand you.)

B) Don't reply to an existing message on the list with a completely different 
question... start a fresh email with an informative subject line and all of the 
replies will show up together in many email programs and in the archives. 
Hijacked email threads tend to get overlooked, which is not in your best 
interest. 

C) Make sure your example is reproducible. See for example [1] or [2] or [3] 
(or all three).

D) A course in linear regression should address when it is reasonable to remove 
terms, but it is beyond the scope of this list to go into that. Removing the 
intercept due to large p-values is hardly ever justified. Mixed models of the 
complexity you are trying to use typically require a lot more data than you 
showed last month to give significant results. You should probably consult with 
a local statistician on your experimental design.

[1] 
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
[2] http://adv-r.had.co.nz/Reproducibility.html
[3] https://cran.r-project.org/web/packages/reprex/index.html

-- 
Sent from my phone. Please excuse my brevity.

On April 17, 2017 8:28:56 PM PDT, Santiago Bueno <swbu...@gmail.com> wrote:
>I need help with R, and although I have posted my questions, no one
>seems
>to care. Can some one coach me in formulating a correct question?
>
>Regards,
>
>Santiago
>
>       [[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

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