Patzelt, Edward
2016-Sep-27 15:05 UTC
[R] Testing significance of individual regression slopes
Hi R-help, I have an lmer logistic regression with a within subjects IV and subject as a random factor: model <- lmer(optimal_choice ~ level_one_value_difference + (1|subid), data = dat) What I want is to test if the individual subject regression coefficient is significantly different from 0. -- Edward H Patzelt | Clinical Science PhD Student Psychology | Harvard University *Computational Cognitive Neuroscience Laboratory <http://gershmanlab.webfactional.com/>* [[alternative HTML version deleted]]
Bert Gunter
2016-Sep-27 16:41 UTC
[R] Testing significance of individual regression slopes
You can't if I understand correctly: there is no individual subject regression coefficient, only a variance component for a random subject intercept. Do you mean that you want to "test" whether that component is nonzero ?(It is, of course). If so, IIRC, lmer eschews such tests for technical reasons -- they are based on approximations that lmer's authors (esp. Doug Bates) contend are unreliable. However, a web search on "test significance of lmer variance components" brought up this: https://www.r-bloggers.com/random-regression-coefficients-using-lme4/ and the "lmerTest" package, both of which seem relevant, again assuming I have correctly divined your intent. You will have to consult the literature or seek advice elsewhere (purely statistical matters are generally OT here) to determine whether they are appropriate for your situation. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, Sep 27, 2016 at 8:05 AM, Patzelt, Edward <patzelt at g.harvard.edu> wrote:> Hi R-help, > > I have an lmer logistic regression with a within subjects IV and subject as > a random factor: > > model <- lmer(optimal_choice ~ level_one_value_difference + (1|subid), data > = dat) > > What I want is to test if the individual subject regression coefficient is > significantly different from 0. > > > -- > Edward H Patzelt | Clinical Science PhD Student > Psychology | Harvard University > *Computational Cognitive Neuroscience Laboratory > <http://gershmanlab.webfactional.com/>* > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.