A travel guide to the R universe
Preface
1 What is R and why use it?
2 Some things to know about R & the R learning ecosystem
3 R Idioms
- 3.1 Quickstart Guide to R
4 Quickstart guide to learning R coding
5 RStudio Cloud
- 5.1 RStudio Cloud Installation Video
- 5.2 RStudio Cloud Primers
6 Hello R! A first encounter with data visualization
7 Troubleshooting problems w/ RStudio Cloud
8 swirl
9 A guide to current swirl tutorials
10 R Desktop
- 10.1 Important notes
- 10.2 Videos
11 RStudio Desktop
12 A note before you start - make sure you’re not in OneDrive or another network folder!
13 The layout of RStudio
14 Problems getting R and RStudio up and running
15 Troubleshooting R error messages
16 Note on updating R (read if you’ve used R before!)
17 Advanced Troubleshooting R & RStudio Installation
18 Video - Angry red text in R (don’t panic!)
19 Troubleshooting R & RStudio Installation
20 Rtools
21 Troubleshooting basic problems
22 Downloading R packages (and their data)
23 Intalling R packages
24 “Libaries” versus “packages” in in R
25 Ways of getting data into R
26 Loading Excel spreadsheets into RStudio
27 Loading data from .csv files into RStudio
28 Interactive resources for learning R
- 28.1 RStudio Cloud Primers (FREE! Total beginners).
- 28.2 swirl Interactive Primers
  - 28.2.1 swirl quickstart:
29 R Learning Books
30 RStudio videos
31 Appendix: RMarkdown
32 Getting set up for rendering RMarkdown documents
33 The different faces of R code: The console, scripts & RMarkdown
34 Goind deeper with functions and arguments
35 R’s Installation directory and “working directory”
36 Understanding data helpfiles
Published with bookdown

Get R Done! A travelers guide to the world of R

Chapter 23 Intalling R packages

An video showing the process of loading packages: https://youtu.be/cY4dxsh3lXI