Tag Archives: R packages

R for Logistic Regression: Example from Epidemiology and Biostatistics

Logistic regression calculate the log odds of the probability of the outcome. Many people are used to using SAS for logistic regression, but you can also use R.

R for logistic regression in health data analytics is a reasonable choice, if you know what packages to use. You don’t have to use SAS! My blog post provides you example R code and a tutorial!

Making Upset Plots with R Package UpSetR Helps Visualize Patterns of Attributes

If you are having trouble setting options using R making plots, then you should read this blog post.

Making upset plots with R package UpSetR is an easy way to visualize patterns of attributes in your data. My blog post demonstrates making patterns of co-morbidities in health survey respondents from the BRFSS, and walks you through setting text and color options in the code.

Doing Surveys? Try my R Likert Plot Data Hack!

The Likert package in R can visualize categorical data.

I love the Likert package in R, and use it often to visualize data. The problem is that sometimes, I have sparse data, and this can cause problems with the package. This blog post shows you a workaround, and also, a way to format the final plot that I think looks really great!

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