[R] To simplify or not simplify?

[Bert Gunter]

Off topic . This list is about R programming. Post on a statistics
list like stats.stackexchange.com instead.

Cheers,
Bert


Bert Gunter

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
   -- Clifford Stoll


On Mon, Jul 20, 2015 at 2:02 AM, Georgina Southon
<g.southon at sheffield.ac.uk> wrote:
> Dear R help,
>
> This is rather a basic question, but I can't seem to find an answer anywhere else.
>
> When I run a model such as lm/aov(height~var1) where var 1 is a categorical variable with 6 levels, I get output that shows some significant parameters and other non significant. Normally I would then proceed to simplify the model by removing the insignificant terms, however, I have recently begun to wonder if that should be standard practice or whether the full model output (not reduced by simplification) has more integrity and should be retained?
>
> Any thoughts would be most welcome!
>
> Thanks,
>
> Lizzie
>
>
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>
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