-
Notifications
You must be signed in to change notification settings - Fork 18
/
biblio.Rmd
61 lines (32 loc) · 2.05 KB
/
biblio.Rmd
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
50
51
52
53
54
55
56
57
58
59
60
---
title: "Bibliografía"
description: |
Lecturas recomendadas y materiales de apoyo
site: distill::distill_website
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
# Learn more about creating websites with Distill at:
# https://rstudio.github.io/distill/website.html
```
### PRINCIPAL
**Fundamentos**: [_An Intro to R_](https://colinfay.me/intro-to-r/statistical-models-in-r.html), Collin Fay.
**Programación**: [R para Ciencia de Datos](https://es.r4ds.hadley.nz/) (Traducción de [R for Data Science](https://r4ds.had.co.nz/)), Garrett Grolemund, Hadley Wickham.
**Visualización**: [ggplot2: Elegant Graphics for Data Analysis](https://ggplot2-book.org/), Hadley Wickham.
**Geocomputación**: [_Geocomputation with R_](https://geocompr.robinlovelace.net/); Robin Lovelace, Jakub Nowosad & Jannes Muenchow.
---
### CONSULTA
#### GENERAL
* [AnalizaR Datos Políticos](https://arcruz0.github.io/libroadp/), Francisco Urdinez y Andrés Cruz Labrín (Editores).
* [Ciencia de Datos para Gente Sociable](https://bitsandbricks.github.io/ciencia_de_datos_gente_sociable/), Antonio Vazquez Brust.
* [Ciencia de datos para curiosos](https://bookdown.org/martinmontaneb/CienciaDeDatosParaCuriosos/), Martín Montané.
#### DATA VIZ
* [Data Visualizaction: A Practival Introduction](https://socviz.co/index.html#preface), Kieran Healey.
* [Fundamentals of Data Visualization](https://clauswilke.com/dataviz/), Claus Wilke.
#### GEO
* [Spatial Data Science (*with applications in R*)](https://www.r-spatial.org/book), Edzer Pebesma y Roger Bivand.
* [Herramientas de análisis espacial en R](https://martinmontane.github.io/AnalisisEspacialEnR/), Martín Montané.
#### SOFTWARE / PROGRAMACIÓN
* [What They Forgot to Teach You About R](https://rstats.wtf/), Jennifer Bryan & Jim Hester.
* [Happy Git and GitHub for the useR](https://happygitwithr.com/), Jennifer Bryan, STAT 545 TAs & Jim Hester.
* [A Handbook for Teaching and Learning with R and RStudio](https://rstudio4edu.github.io/rstudio4edu-book/), Desirée De Leon & Alison Hill.