General Overview
Syllabus
Key Facts
Getting Help
Assessments
University Policies
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 - Base R Data Wrangling
13 - data.table
14 - dplyr
15 - Parallel Computing
16 - Efficient R
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
Built by
Dirk Eddelbuettel
using
Hugo
and
Learn
, and hosted in this
GitHub
org.
DSPM
>
Lectures
> 12 - Base R Data Wrangling
Overview
Core Material
Resources:
Additional Readings
12 - Base R Data Wrangling
Overview
data.frame
manipulations
modifying by adding columns
subsetting and summaries
conditional operation by groups
Core Material
Slides
Resources:
Chapter 5: Data Frames
in Matloff,
Art of R Programming
, 2011.
Sections 1 and 2 of Chapter 11, Group Manipulations
in Lander,
R for Everyone
, 2017.
Additional Readings
While
R for Data Science
is popular, it skips Base R which this lecture covers