R for Reproducible Scientific Analysis, Jan 16-17, The Jackson Laboratory

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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.
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 from 9am to 4:30pm on Tuesday and Wednesday, January 16-17th. JAX employees can find the bioinformatics training room in building 1, unit 5 on this campus map. Visitors should bring photo ID and meet at the visitor entrance by 8:30am.