Skip to main content

Bioinformatics Training and Education Program

december, 2020

15dec11:00 am1:00 pmSoftware Carpentry: R for Reproducible Scientific AnalysisVectorization, Control Flow and Functions Explained

more

Event Details

Register

The goal of these workshops 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. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees 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.

This is very important! Please follow this link and https://rstudio-education.github.io/hopr/starting.html onto your computer before class. If you have trouble doing this please send email to ncibtep@nih.gov and we will help you.

This class is held weekly for 6 weeks. When you register, you are registering for all 6 weeks. Please make sure you have time in your schedule to commit to this training.

For more information and class updates, please see the GitHub page for the class at https://abcsfrederick.github.io/Intro-to-R-Fall2020/Schedule

Time

(Tuesday) 11:00 am - 1:00 pm

Location

Online

Organizer

Frederick National Lab for Cancer Research (FNLCR), Advanced Biomedical Computational Science (ABCS)Randy Johnson, johnsonra@mail.nih.gov

Leave a reply

X