Thomas A. Groen wrote:
Dear All,
the lm() function has the possibility to create a subset of the
possible explaining variables that you have. However, in the help
there is no example how to use this subset option. I tried the
following:
model-lm(dependent.data$MPFD~.,data=explaining.data,subset=c(1,0,0,0,0,0,0,0,1,1,0,0))
MPFD is the dependent variable stored in the data frame
dependent.data, and all 12 explaining variables are stored in the data
frame explaining.data.
However, this yields a model with only an intercept, and the comment
Coefficients: (12 not defined because of singularities)
I hope anyone would be able to give me an example how to do this
correctly.
Kind regards,
Thomas
___
The subset option works on the rows of the data set. Not on the covariates.
You would have to do something like:
lm(blah blah, data=explaining.data[, pick your columns])
Alain Zuur
-
Dr. Alain F. Zuur
First author of:
1. Analysing Ecological Data (2007).
Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p.
2. Mixed effects models and extensions in ecology with R. (2009).
Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer.
3. A Beginner's Guide to R (2009).
Zuur, AF, Ieno, EN, Meesters, EHWG. Springer
Statistical consultancy, courses, data analysis and software
Highland Statistics Ltd.
6 Laverock road
UK - AB41 6FN Newburgh
Email: highs...@highstat.com
URL: www.highstat.com
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