R for Reproducible Scientific Analysis at Bates College
Benjamin Mays Center - Bates College,
Please contact the event organizer for more information
13 - 14
The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis.
Our real goal isn’t to teach you R, but to teach you the basic concepts that all programming depends on. We use R in our lessons because:
it’s free, well-documented, and runs almost everywhere;
it has a large (and growing) user base among scientists;
it has a large library of external packages available for performing diverse tasks.
The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.
These cookies are required for basic site operations.
Allow Essential cookies
Analytics cookies are used to analyze web traffic to improve the user experience.
Allow Analytics cookies