Week 8

Final Exam FYI

• Multiple choice component.

Final Project Forthcoming

• Information October 20/22.
• November 17th (pending verification)

R & R Studio Lecture Material

https://www.hscdatascience.io/index.php/learning-r/ 

Bioinformatics Repository

https://www.bioconductor.org/

Other Places to Help Learn R.

R is a scripting language enabled and expanded by RStudio. There is the base environment and the R-Studio environment which enables a graphical user interface (GUI) for editing and building reproducible analysis. These are bonus materials

R-Data Science book https://r4ds.had.co.nz/

• Introduction to R by Thomas Girke.(https://girke.bioinformatics.ucr.edu/manuals/mydoc/mydoc_Rbasics_1.html)
• R & Bioconductor Manual by Thomas Girke UC Riverside (http://manuals.bioinformatics.ucr.edu/home/R_BioCondManual)
• Little Book of R for Bioinformatics (https://a-little-book-of-r-for-bioinformatics.readthedocs.io/).  Free excellent book for pure R.
• DataCamp (https://www.datacamp.com/courses/free-introduction-to-r).  Introductory tool for learning R.  First few chapters are free, though it costs typically $25 per month
• R Basics Cheatsheet. Simple 1 page cheatsheet for basic R functions
• R Importing Data Cheatsheets. Simple 1 page cheatsheet for importing data into R.
• Transforming and manipulating data. Simple cheatsheets for manipulating data with dplyr.
• Top 50 ggplot2 Visualizations. (http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html)
• FreeCodeCamp (2hr). Popular R video for learning R.
• Lynda.com. Free for USC faculty , staff and students.
  • Learning R (2hr 51min)
  • R statistics (5h 59m)
  • R for Data Science (7h 16m)
  • Data Wranging in R (4 h 12 m
  • Data Visualization in R with ggplot2 (2hr 27)

Data

https://github.com/davcraig75/rna