Somebody might have done this, but in fact it's not difficult to compute the
marginal effects yourself (which is the beauty of R). For a univariate
logistic regression, I illustrate two ways to compute the marginal effects
(one corresponds to the mfx, the other one to the margeff command in
Dear Daniel,
Thanks for your prompt reply.
Indeed I was aware of the possibility of computing at mean(x) or doing the
mean afterwards.
But what you suggest is marginal effects, right? Isn't that the effect on y
of a 1-unit increase in x (what I was not interested in)? I'm interested in
the
: Re: [R] Percentage effects in logistic regression
Dear Daniel,
Thanks for your prompt reply.
Indeed I was aware of the possibility of computing at mean(x) or doing the
mean afterwards.
But what you suggest is marginal effects, right? Isn't that the effect on y
of a 1-unit increase in x (what I
-
-Ursprüngliche Nachricht-
Von: Roberto Patuelli [mailto:roberto.patue...@usi.ch]
Gesendet: Monday, November 09, 2009 1:54 PM
An: Daniel Malter; r-help@r-project.org
Betreff: Re: [R] Percentage effects in logistic regression
Dear Daniel,
Thanks for your
-
-Ursprüngliche Nachricht-
Von: Roberto Patuelli [mailto:roberto.patue...@usi.ch]
Gesendet: Monday, November 09, 2009 1:54 PM
An: Daniel Malter; r-help@r-project.org
Betreff: Re: [R] Percentage effects in logistic regression
Dear Daniel,
Thanks for your prompt reply.
Indeed I was aware
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