[R-sig-ME] lmer()/glmer() data formatting question

[Ben Bolker]

  Yes, the value of the predictor for each observation should be the 
value relevant to that observation.  E.g. if subect 17 has a baseline 
value of 14.2, that value should be repeated for all of the observations 
pertaining to that subject.

   Requiring the data to be in long format makes implementation *much* 
easier, although I have sometimes mused about the possibility of 
implementing modeling machinery that takes relational tables rather than 
a single data frame as input ... (Is anyone aware of such a modeling 
system, specifically one that handles designs of more-or-less arbitrary 
complexity?)

  There is a package for handling multi-tables in R 
(https://rdrr.io/github/stevencarlislewalker/multitable/man/multitable-package.html), 
but it doesn't do anything clever/efficient in a mixed-model context, 
just allows the coercion to long format to happen automatically ...

On 4/30/21 2:51 PM, Hedyeh Ahmadi wrote:
> Hi All,
> I am having a basic question about data formatting for lmer()/glmer() that I think I know the answer, but I would appreciate it if you could confirm my understanding.
> 
> In the lmer() world, we have either time-varying or time-invariant predictors. When we format the data, we need to have it in long format. In long data format we have the following:
> 
>    *   Time-varying predictors will change for each time point (i.e. each row).
>    *   Time-invariant predictors will stay the same for all time points.
> 
> My question: If I want to adjust for a baseline predictor then the format for this variable should be the same as time-invariant predictor (i.e. same value for all time points) - is that correct?
> 
> Thank you in advance for your time!
> 
> Best,
> 
> Hedyeh Ahmadi, Ph.D.
> Applied Statistician
> Keck School of Medicine
> Department of Preventive Medicine
> University of Southern California
> 
> Postdoctoral Scholar
> Institute for Interdisciplinary Salivary Bioscience Research (IISBR)
> University of California, Irvine
> 
> LinkedIn
> www.linkedin.com/in/hedyeh-ahmadi<http://www.linkedin.com/in/hedyeh-ahmadi>
> <http://www.linkedin.com/in/hedyeh-ahmadi><http://www.linkedin.com/in/hedyeh-ahmadi>
> 
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