Reproducible Science and Programming - RStudio

How to Address Missing Values in R

Missing data in R can be caused by issues in data collection and / or processing and presents challenges in data analysis. Learn how to address missing data values in R.

last updated: 08 Dec 2017

The syntax of the R scientific programming language - Data science for scientists 101

This lesson introduces the basic syntax associated with the R scientific programming language. We will introduce assignment operators (<-), comments and basic functions that are available to use in R to perform basic tasks including head(), qplot() to quickly plot data and others. This lesson is designed for someone who has not used R before. We will work with precipitation and stream discharge data for Boulder County.

last updated: 07 Dec 2017

File organization 101

Learn key principles for naming and organizing files and folders in a working directory.

last updated: 07 Dec 2017

Get to know RStudio

Learn how to work with R using the RStudio application.

last updated: 07 Dec 2017