[R] dynamically specifying regressors/RHS variables in a regression

[Gabor Grothendieck]

Using the builtin data frame CO2 this regresses uptake, which is
variable number 5, against each consecutive pair of variables:

for(i in 1:3) {
   idx <- c(i, i+1, 5)
   print(lm(uptake ~., CO2[idx]))
}




On 5/5/07, Victor Bennett <bennett at haas.berkeley.edu> wrote:
> Does anyone know if there is a way to specify regressors dynamically
> rather than explicitly?
>
> More specifically, I have a data set in "long format" that details a
> number of individuals and their responses to a question (which can be
> positive, negative, or no answer).  Each individual answers as many
> questions as they want, so there are a different number of rows per
> individual.
>
> For each number of questions, I want to run a logit on all the
> individuals who saw that many questions, predicting whether they
> choose to answer anymore afterwards by their choices on the earlier
> questions.
>
> the second logit would look like
> answered_only_2~answer_1_pos+answer_1_neg+answer_2_pos+answer_2_neg
>
> This will result in over 100 regressions, with different numbers of
> RHS variables.  I'd like to iterate over the sequence of numbers and
> run a logit for each, but I can't find any means for dynamically
> generating the RHS variable from an array, or vector.  The only way I
> can think of to write the function would still require the same number
> of RHS variables in each regression.
>
> Is there a way to dynamically generate the right hand side?
>
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