-
Notifications
You must be signed in to change notification settings - Fork 3
/
CITATION.cff
49 lines (49 loc) · 1.51 KB
/
CITATION.cff
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
cff-version: 1.2.0
message: "Please cite this book as follows."
title: "Deep R Programming"
doi: 10.5281/zenodo.7490464
url: "https://deepr.gagolewski.com/"
repository-code: "https://github.com/gagolews/deepr"
abstract: >
Deep R Programming is a comprehensive and in-depth introductory course on
one of the most popular languages for data science. It equips ambitious
students, professionals, and researchers with the knowledge and skills to
become independent users of this potent environment so that they can tackle
any problem related to data wrangling and analytics, numerical computing,
statistics, and machine learning. This textbook is a non-profit project.
Its online and PDF versions are freely available at
https://deepr.gagolewski.com/.
keywords:
- R
- S
- programming
- data wrangling
- statistics
- data science
- machine learning
- data frames
- matrices
- vectors
- tensors
- data cleansing
- text processing
- graphics
authors:
- family-names: Gagolewski
given-names: Marek
orcid: "https://orcid.org/0000-0003-0637-6028"
website: "https://www.gagolewski.com/"
preferred-citation:
type: book
year: 2024
title: "Deep R Programming"
url: "https://deepr.gagolewski.com/"
doi: 10.5281/zenodo.7490464
isbn: "978-0-6455719-2-9"
publisher:
city: Melbourne
authors:
- family-names: Gagolewski
given-names: Marek
orcid: "https://orcid.org/0000-0003-0637-6028"
website: "https://www.gagolewski.com/"