Functions
Welcome
1
Preface
2
Introduction
3
Installation
4
Getting Started
5
IDEs
6
R packages
7
Basic operations
8
Data Types & Vectors
9
Data Structures
10
Indexing
11
Factors
Data Input/Output
12
Base Data I/O
13
Read and Write Excel Data
14
data.table Data I/O
15
readr Data I/O
16
vroom Data I/O
17
Vectorized Operations
18
Control Flow
19
Summarizing Data
20
Aggregate
Functions
21
Writing Functions
22
Function Scoping
23
Pipes
24
The Apply Family
Data Frames
25
Working with Data frames
26
Reshaping
27
Joins
28
Data Transformations
29
Handling Missing data
30
Strings
31
Date and Time
32
Set Operations
33
Classes and OOP
Data Table
34
data.table
basics
35
data.table Data I/O
36
Reference Semantics
37
Reshape
38
Joins
39
Advanced Usage Examples
Tidyverse
40
Introduction to dplyr
41
Joins
42
Reshaping with
tidyr
43
Dates with
lubridate
Graphics
44
Base Graphics
45
Colors
46
Introduction to
ggplot2
47
Introduction to
plotly
48
Common Statistical Tests
49
Introduction to the GLM
50
Benchmarking & Profiling
51
Optimization
52
Quarto
System
53
Introduction to the System Shell
54
Git & GitHub: The Basics
Advanced R
55
Data Queries across implementations
56
DuckDB
57
Resources
58
Data Pipeline Overview
Crash Course
References
Functions
Contents:
Writing functions
Scoping of functions
Pipes
20
Aggregate
21
Writing Functions