Try looking at the help page for factor
?factor
for something to start with.
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 10/5/17, 10:54 AM, "R-help on behalf of Alexandra Thorn"
<r-help-boun...@r-project.org on behalf of alexandra.th...@gmail.com> wrote:
I'm trying to develop a linear model for crop productivity based on
variables published as part of the SSURGO database released by the
USDA. My default is to just run lm() with continuous predictor
variables as numeric, and discrete predictor variables as factors, but
some of the discrete variables are ordinal (e.g. drainage class, which
ranges from excessively drained to excessively poorly drained), but
this doesn't make use of the fact that the predictor variables have a
known order.
How do I correctly set up a regression model (with lm or similar) to
detect the influence of ordinal variables?
How will the output differ compared to the dummy variable outputs for
unordered categorical variables.
Thanks,
Alex
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______________________________________________
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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.
