generated from inSilecoInc/workshop_R_template
-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy path_00_introduction.Rmd
105 lines (60 loc) · 1.66 KB
/
_00_introduction.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
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
---
title: "Introduction"
output:
xaringan::moon_reader:
css: [default, rd.css, rd-font.css, "hygge"]
lib_dir: assets
seal: false
nature:
highlightStyle: dracula
countIncrementalSlides: false
beforeInit: "macros.js"
---
# Introduction
```{r setup_00, include = FALSE}
source("_setup.R")
# knitr::clean_cache(TRUE)
htmltools::tagList(
xaringanExtra::use_clipboard(
button_text = "<i class=\"fa fa-clipboard\"></i>",
success_text = "<i class=\"fa fa-check\" style=\"color: #37abc8\"></i>",
),
rmarkdown::html_dependency_font_awesome()
)
xaringanExtra::use_scribble()
```
---
# Working collaboratively
## Why?
- only way to achieve our goals
- complementarity (skills, experience, etc)
- efficiency
--
## How?
- meetings (of all kind)
- sharing documents (of all kind)
--
- **sharing code** (say `r rp()` code or a RMD document)
---
# Sharing code
--
### - It's about keeping track of different versions of the code
--
### - Developers have been doing this for decades now
--
### - They have created great tools for this
--
### - `r gt()` is (probably) the most popular
--
### - `r gh()` is the largest host for `r gt()` repositories
---
# Learning objectives
### Learn about `r gt()` and `r gh()`
--
### Understand how `r gt()` works
--
### Be able to use `r gt()` and `r gh()` to collaborate
--
### Use [<img src="img/rmarkdown.png" style="vertical-align: middle;margin:10px" width="50px"></img>](https://rmarkdown.rstudio.com/) to create documents and expose them on `r gh()`
--
### Collaborate efficiently on a CSAS document using [csasdown `r rp()` package](https://github.com/pbs-assess/csasdown)