Since the software they most commonly use does not perform in depth competing risk analysis, we recommend an add-on package for the R statistical software.

A guide to the popular, free statistics and visualization software that gives scientists control of their own data analysis.

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.

Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the ...

Course Objectives: To learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and ...