> My question is how do I present/plot the effect of covariate "TD" in > the example it has "P" equal to 3.32228e-12 for all IDs in the > resulting file so that I show how much effect covariate "TD" has on > the analysis. Should I run another regression without covariate "TD"
I'll take a second shot in the dark: There is R^2, and a number of generalizations. (The most common of which, is probably adjusted R^2). And there are various other goodness of fit tests. https://en.wikipedia.org/wiki/Goodness_of_fit https://en.wikipedia.org/wiki/Coefficient_of_determination You could fit two models (one with a particular variable included, and one without), and compare how the statistic changes. However, I'm probably going to get told off, for going off-topic. So, unless any further questions are specific to R programming, I don't think I'm going to contribute further. Also, I'd recommend you read some notes on statistical modelling, or consult an expert, or both. And I suspect there are additional considerations modelling genetic data. ______________________________________________ R-help@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.
