This class is now over but the resources on this page will remain available for you to use.

The Frederick National Laboratory for Cancer Research (FNLCR) and BTEP is excited to announce an online workshop “Software Carpentry: R for Reproducible Scientific Analysis”. This workshop is geared towards beginning learners in R.

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

TITLE: Software Carpentry: R for Reproducible Scientific Analysis
COURSE ORGANIZER AND INSTRUCTOR: Randy Johnson Ph.D., FNLCR ABCS
CO-INSTRUCTORS: Amy Stonelake Ph.D. (BTEP) and George Zaki, Ph.D. (FNLCR)

CLASS DATES:

Nov 3, 11 AM – 1 PM, Week 1, Introduction to R and RStudio, Project Management with RStudio and Seeking Help (link to recording)
Nov 10, 11 AM – 1 PM, Week 2, Data Structures (no recording available)
Nov 17, 11 AM – 1 PM, Week 3, Exploring Data Frames, Subsetting Data (link to recording)
Nov 24 NO CLASS Thanksgiving Holiday

Dec 1, 11 AM – 1 PM, Week 4, Creating Publication-Quality Graphics with ggplot2 (link to recording)
Dec 8, 11 AM – 1 PM, Week 5, Writing Data, Dataframe Manipulation with dplyr, (link to recording)
Dec 15,11 AM – 1 PM, Week 6, Vectorization, Control Flow, Functions Explained (link to recording)

Help Sessions
Nov 5, 12 – 1 PM, Week 1, Setting up access to the Course Materials with Git, Questions from Week 1
Nov 12, 12 – 1 PM, Week 2, Data structures
Nov 19, 12 – 1 PM, Week 3, Data frames
Dec 3, 12 – 1 PM, Week 4, Data visualization and ggplot2
Dec 10, 12 – 1 PM, Week 5
Dec 17, 11 AM – noon, Week 6 **SPECIAL SESSION** on “Taming Messy Data with R” (no recording available)

Questions: ncibtep@nih.gov