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purrr_class_15min.html
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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Automatized files managment</title>
<meta charset="utf-8" />
<meta name="author" content="Florencia DβAndrea" />
<link rel="stylesheet" href="xaringan-themer.css" type="text/css" />
</head>
<body>
<textarea id="source">
class: center, middle, inverse, title-slide
# Automatized files managment
## 15β class for the R-Studio Certification
### Florencia DβAndrea
### π¦cantoflor_87
---
class: center, middle
# Iteration with purrr package
### for automatized files management
### ππ±
---
class: inverse, center, middle
### 1. Obtain a dataframe from multiple files
### 2. Automatize report generation
---
class: inverse, center, middle
### π<span style="color: #f2cc9d;">1. Obtain a dataframe from multiple files</span>
### 2. Automatize report generation
---
### Read files using `map_df()`
<img src="1_eng.png" width="1809" />
---
### Read files using `map_df()`
<img src="2_eng.png" width="1805" />
---
### Read files using `map_df()`
<img src="3_eng.png" width="1805" />
---
# Letβs practise πͺ
### Which function would you use to obtain these return values?
1. `map()`
2. `map_df()`
3. `map_chr()`
<img src="4_eng.png" width="1743" />
---
class: inverse, center, middle
# Live coding #1 π»
#### 1. Build a vector of `filenames` you want to iterate over
#### 2. Select a `function` to read the files
#### 3. Check the number of `arguments` the function needs
#### 4. Select among `map()`/`map2()`/`pmap()`
#### 5. Select a `map_*()` suffix in relation to the *desired output*
File `live_coding.R` in [![Binder](https://mybinder.org/badge_logo.svg)](https://hub.gke.mybinder.org/user/flor14-purrr_class-cfjuzm9b/rstudio/)
---
class: inverse, center, middle
### 1. Obtain a dataframe from multiple files
### 2. Automatize report generation
---
class: inverse, center, middle
### 1. Obtain a dataframe from multiple files
### π <span style="color: #f2cc9d;">2. Automatize report generation</span>
---
### Iterate using a function for its side effects
<img src="5_eng.png" width="1636" />
---
### `purrr::walk()` family of functions
<img src="6_eng.png" width="500" />
---
# LetΒ΄s practise πͺ
### Which of these functions you would use with walk() family of functions?
1. `purrr::safely()`
2. `~ggplot(., aes(mpg, wt)) + geom_point()`
3. `rmarkdown::render()`
4. `~list(name = .)`
Can you explain your choice on using `map()` or `walk()` to iterate with these functions?
---
### RMarkdown π§Ά
<img src="rmd.png" width="700" />
---
### RMarkdown Template file
Add parameters
<img src="yaml.png" width="979" />
---
### Automatization of report generation
<img src="7_eng.png" width="1596" />
---
### `pwalk()` function π§ΆπΊ
<img src="final_scheme.png" width="1764" />
---
class: inverse, center, middle
# Live coding #2 π»
Get your own series of reports!
File `live_coding.R` in
[![Binder](https://mybinder.org/badge_logo.svg)](https://hub.gke.mybinder.org/user/flor14-purrr_class-cfjuzm9b/rstudio/)
---
class: center, middle
# Thanks!
### πΊπ§ΆπΊπ§ΆπΊπ§Ά
Slides created via the R package [**xaringan**](https://github.com/yihui/xaringan).
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