Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

R for Reproducible Scientific Analysis #93

Closed
smcclatchy opened this issue Mar 29, 2019 · 0 comments

Comments

@smcclatchy
Copy link
Owner

commented Mar 29, 2019

The goal of this workshop 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. The emphasis of these materials is to give participants a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

Please visit the workshop website for more information and registration.
You can preview the lesson to learn more about content.
Please install R and RStudio on your laptop prior to arrival.

We'll meet in the breezeway bioinformatics training room 1540, building 1, unit 5, The Jackson Laboratory from 9am to 4:30pm on Thursday, June 6 and Friday, June 7.

@smcclatchy smcclatchy closed this Jul 16, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
1 participant
You can’t perform that action at this time.