R Programming

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Visualizing linear regression models using R - Part 1

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I wrote a tutorial on how to visualize linear regression models using R. In the tutorial I used the lm() command and the predict3d package to generate the models and visualize them using R. You can view the RPubs tutorial here. (NOTE: on 30 January 2022, I updated this tutorial and it can be found in my RPubs page here.) I created this tutorial using R Markdown, and the codes are available on my GitHub site (link).

R tutorial on using the epitools package to assess confounding and interaction

I created an R tutorial on using the epitools and epiR packages to assess confounding and interaction. It is located on my RPubs page here. I used R Markdown to create this tutorial and I uploaded my code on my GitHub page here. Here is a figure summarizing the lessons from the tutorial.

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Forest plots in R

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I wrote a tutorial on how to create forest plots in R. It’s posted on the RPubs site; here’s the link.

I wrote the tutorial on R Markdown and posted the code on my GitHub page (link).

This was an entertaining exercise to learn how to do this in R. There are, of course, lots of ways to create forest plots in R, but I wanted to learn how to do this using ggplot2 and some native R packages.

Here is the final forest plot.