General Overview
Syllabus
Key Facts
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Lectures
1 - Shell I
2 - Shell II
3 - Git I
4 - Git II
5 - Markdown
6 - SQL I
7 - SQL II
8 - R and RStudio
9 - R Data Types
10 - Flow, Functions
11 - R Data I/O
12 - data.table
13 - dplyr
14 - Big Data / Parallel
15 - Efficient R I
16 - Efficient R II
17 - Visualization I
18 - Visualization II
19 - Shiny Dashboards
20 - Packages I
21 - Packages II
22 - Rscript and r
23 - Docker I
24 - Docker II
25 - C++ I
26 - C++ II
27 - Rcpp I
28 - Rcpp II
29 - Rcpp III
30 - Recap
Schedule
Resources
Course Websites
Reading Material
Code + Data Snippets
Frequently Asked Questions
Changelog
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Lectures
> 16 - Efficient R II
Overview
Efficient R Programming (Gillespie/Lovelace book)
Core Material
16 - Efficient R II
Overview
Efficient R Programming (Gillespie/Lovelace book)
Chapter 6: Efficient Data Carpentry
Chapter 7: Efficient Optimization
Core Material
Slides
Video 20: prodviz
and
R Code
Chapter 6 and 7 in Efficient R Programming
, Gillespie and Lovelace, 2016