Splus does not standardize continous
variates – by standardizing I believe you mean centering to improve
interpretability, (if x is the continuous covariate, x*=(x-mean(x))).
When you specify the formula, you can
center your covariate i.e. instead of
glme( y~ x);
have
xst<- x-mean(x); glme(y~xst)
stella
From:
s-news-owner@lists.biostat.wustl.edu
[mailto:s-news-owner@lists.biostat.wustl.edu] On
Behalf Of Ali & Hind Lazrak
Sent: Tuesday, February 05, 2008
5:57 PM
To: Splus listserve
Subject: [S] Continuous covariates
interpretation in glme
I ran a generalized mixed effects model to predict a
binary outcome using the 'glme' procedure. This model has two
random subject (persons nested within companies) and 5 fixed effects
terms for the subjects.
Among these 5 fixed effects variables, 2 are continuous.
As I am interpreting the results I have a question
pertaining to the treatment of continuous covariates:
Does Splus standardize automatically continuous
covariates?
Thank you kindly for your answer.