Advanced R Programming for Biological Sciences
Neurobiology and Behavior, Cornell University
BIONB 7200; Lec 002; Spring 2018
PRESENTATIONS & Practices
- Course syllabus
- Questionnaire summary
- Reading: "Are you fluent in R?"
- Reading: "Reproducible research: when you results can't be reproduced?
- Reading "Writing manuscripts in Rstudio, easy citations"
- Reading: "How reproducible data analysis scripts can help you to get around data sharing blockers"
- Reading: "Why you should learn R"
- Reading: "Making your code reproducible with R"
- Reading: "Why I love R notebooks" (about dynamic reporting with Rmarkdown)
- Reading: "A guide to reproducible code in ecology and evolution"
- Book: "R for data science" (Grolemund & Wickham 2017 book)