Functions
Home
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
Strings
30
Date and Time
31
Set Operations
32
Classes and OOP
Data Table
33
Introduction
34
data.table basics
35
Reference Semantics
36
Reshape
37
Joins
38
Advanced Usage
Tidyverse
39
Introduction to dplyr
40
Reshaping with
tidyr
41
Joins
42
Dates with
lubridate
Graphics
43
Base Graphics
44
Colors
45
Introduction to
ggplot2
46
Introduction to
plotly
47
Common Statistical Tests
48
Introduction to the GLM
49
Benchmarking & Profiling
50
Optimization
51
Quarto
System
52
Introduction to the System Shell
53
Git & GitHub: The Basics
Advanced R
54
Data Queries across implementations
55
DuckDB
56
Resources
57
Data Pipeline Overview
Crash Course
References
Functions
Contents:
Writing functions
Scoping of functions
Pipes
© 2025 E.D. Gennatas
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Aggregate
21
Writing Functions
