Search

Biostatistical Computing with R
Biostatistical Computing with R
  • Syllabus
  • Schedule
  • Readings
  • Assignments
  • Classes
  • RStudio.cloud
Class sessions
  • Lecture 1. Introduction to R and RStudio
  • Lecture 2. R preliminaries
  • Lecture 3. R base graphics, statistical functions
  • Lecture 4. Reproducible reports with Markdown, knitr
  • Lecture 5: Data management/code best practices
  • Lecture 6: Packages
  • Lecture 7: Tidyverse, data manipulation
  • Lecture 8: Tidyverse, data visualization
  • Lecture 9: Git/GitHub
  • Lecture 10: Interactive web apps with Shiny

Lecture 5: Data management/code best practices

Materials from class on Tuesday, October 6, 2020

Slides

Data organization best practices

Lecture slides in HTML format

Code organization best practices

Lecture slides in HTML format

Code optimization best practices

Lecture slides in HTML format

Last updated on October 6, 2020

Edit this page


BIOS 524: Biostatistical Computing with R (Fall 2020)
Virginia Commonwealth University    Biostatistics Graduate Program

Dr. Mikhail Dozmorov    mdozmorov@vcu.edu

Tuesday, Thursday    1:00pm – 2:20pm
Online

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2020 MGD

This site created with the Academic theme in blogdown and Hugo.

View the source at GitHub.

Cite
Copy Download