Dear R Mailinglist,
I want to understand how predictors are associated with a dependent
variable in a regression. I have 3 measurement points. I'm not interested
in understanding the associations of regressors and the predictor at each
measurement separately, instead I would like to use the whole sample in one
regression, "pooling" the measurement points.
I cannot simply throw them together, because the observations are not
independent.
Therefore, I think I need to add time as a regressor. How do I do this in
R? Google leads me to "time-series analysis" more often than not, but from
in other statistical programs and longitudinal research, the word
"time-series" is usually reserved for 5+ measurement points.
Thank you
T
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
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.
