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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Creating Tables for R Markdown Reports</title>
<meta charset="utf-8" />
<meta name="author" content=" Izzy Johnson" />
<meta name="date" content="2021-04-08" />
<link href="libs/remark-css/default.css" rel="stylesheet" />
<link href="libs/remark-css/default-fonts.css" rel="stylesheet" />
<script src="libs/kePrint/kePrint.js"></script>
<link href="libs/lightable/lightable.css" rel="stylesheet" />
</head>
<body>
<textarea id="source">
class: center, middle, inverse, title-slide
# Creating Tables for R Markdown Reports
## ——<br/>The basics, and making them better with kableExtra
### <br/><br/><br/><br/><br/>Izzy Johnson
### 8 April 2021
---
class: blue-title
<style type="text/css">
.remark-slide-content {
font-family: Arial, Helvetica, sans-serif;
}
.remark-slide-content h1,h2,h3,h4 {
font-family: Open Sans, Helvetica, sans-serif;
font-weight: 100;
text-shadow: 0 0 0px;
}
.title-slide {
background-image: url(table_background_photo.jpeg);
background-size: cover;
}
.title-slide h1 {
margin-block-end: 0em;
padding-top: 60px;
color: black;
}
.title-slide h2 {
margin-block-start: 0em;
color: black;
}
.title-slide h2 {
font-size: 30px;
color: black;
}
.title-slide h3 {
font-size: 28px;
color: black;
}
.redish {
background-color: #FADEDE;
}
.blue-title {
background: linear-gradient(#DAE2EA 15%, #FFFFFF 0%);
}
.blue {
background-color: #DAE2EA;
}
.purple-title {
background: linear-gradient(#E6D9F6 15%, #FFFFFF 0%);
}
.purple {
background-color: #E6D9F6;
}
</style>
### Overview:
+ Making tables in R
+ R Markdown
+ KableExtra Package
+ Additional Resources
--
<table class="table table-hover table-striped" style="margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;"> company </th>
<th style="text-align:left;"> cocoa percent </th>
<th style="text-align:left;"> company location </th>
<th style="text-align:right;"> cocoa percent above 70% </th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;"> Arete </td>
<td style="text-align:left;"> 70% </td>
<td style="text-align:left;width: 8em; "> U.S.A. </td>
<td style="text-align:right;width: 8em; "> 0 </td>
</tr>
<tr>
<td style="text-align:left;"> Arete </td>
<td style="text-align:left;"> 70% </td>
<td style="text-align:left;width: 8em; "> U.S.A. </td>
<td style="text-align:right;width: 8em; "> 0 </td>
</tr>
<tr>
<td style="text-align:left;"> Ocho </td>
<td style="text-align:left;"> 100% </td>
<td style="text-align:left;width: 8em; "> New Zealand </td>
<td style="text-align:right;width: 8em; "> 1 </td>
</tr>
<tr>
<td style="text-align:left;"> Palette de Bine </td>
<td style="text-align:left;"> 72% </td>
<td style="text-align:left;width: 8em; "> Canada </td>
<td style="text-align:right;width: 8em; "> 1 </td>
</tr>
<tr>
<td style="text-align:left;"> Sirene </td>
<td style="text-align:left;"> 73% </td>
<td style="text-align:left;width: 8em; "> Canada </td>
<td style="text-align:right;width: 8em; "> 1 </td>
</tr>
<tr>
<td style="text-align:left;"> Smooth Chocolator, The </td>
<td style="text-align:left;"> 67% </td>
<td style="text-align:left;width: 8em; "> Australia </td>
<td style="text-align:right;width: 8em; "> 0 </td>
</tr>
<tr>
<td style="text-align:left;"> Soma </td>
<td style="text-align:left;"> 62% </td>
<td style="text-align:left;width: 8em; "> Canada </td>
<td style="text-align:right;width: 8em; "> 0 </td>
</tr>
<tr>
<td style="text-align:left;"> Soma </td>
<td style="text-align:left;"> 70% </td>
<td style="text-align:left;width: 8em; "> Canada </td>
<td style="text-align:right;width: 8em; "> 0 </td>
</tr>
</tbody>
</table>
---
class: blue-title
### Making Tables in Base R
```r
table(chocolate_data_sm$company)
```
```
##
## Arete Ocho Palette de Bine
## 22 6 11
## Sirene Smooth Chocolator, The Soma
## 11 16 15
```
---
class: blue-title
### Making Tables in Base R
```r
table(chocolate_data_sm$company_loc,
chocolate_data_sm$cocoa_pct_above_70)
```
```
##
## 0 1
## Australia 14 2
## Canada 17 20
## New Zealand 3 3
## U.S.A. 18 4
```
---
class: blue-title
### Making Tables in Base R
```r
table(mtcars$vs,
mtcars$am)
```
```
##
## 0 1
## 0 12 6
## 1 7 7
```
--
```r
table(mtcars$vs,
mtcars$am,
dnn = c('VS', 'Transmission: AM'))
```
```
## Transmission: AM
## VS 0 1
## 0 12 6
## 1 7 7
```
---
class: blue-title
### Making Tables in R with dplyr
+ Main functions: group_by() and count()
+ arrange(), summarise(), mutate(), and ungroup() are also useful
--
```r
chocolate_data_sm %>%
group_by(company) %>%
count()
```
```
## # A tibble: 6 x 2
## # Groups: company [6]
## company n
## <chr> <int>
## 1 Arete 22
## 2 Ocho 6
## 3 Palette de Bine 11
## 4 Sirene 11
## 5 Smooth Chocolator, The 16
## 6 Soma 15
```
---
class: blue-title
### Making Tables in R with dplyr
+ Main functions: group_by() and count()
+ arrange(), summarise(), mutate(), and ungroup() are also useful
```r
chocolate_data_sm %>%
group_by(company) %>%
count() %>%
arrange(-n)
```
```
## # A tibble: 6 x 2
## # Groups: company [6]
## company n
## <chr> <int>
## 1 Arete 22
## 2 Smooth Chocolator, The 16
## 3 Soma 15
## 4 Palette de Bine 11
## 5 Sirene 11
## 6 Ocho 6
```
---
class: blue-title
### Making Tables in R with dplyr
```r
chocolate_data_sm %>%
group_by(company_loc, cocoa_pct_above_70) %>%
count()
```
```
## # A tibble: 8 x 3
## # Groups: company_loc, cocoa_pct_above_70 [8]
## company_loc cocoa_pct_above_70 n
## <chr> <dbl> <int>
## 1 Australia 0 14
## 2 Australia 1 2
## 3 Canada 0 17
## 4 Canada 1 20
## 5 New Zealand 0 3
## 6 New Zealand 1 3
## 7 U.S.A. 0 18
## 8 U.S.A. 1 4
```
---
class: blue-title
### Making Tables in R with dplyr
```r
chocolate_data_sm %>%
group_by(company_loc, cocoa_pct_above_70) %>%
count() %>%
ungroup() %>%
mutate(percent = (n/sum(n)*100) %>%
round(2))
```
```
## # A tibble: 8 x 4
## company_loc cocoa_pct_above_70 n percent
## <chr> <dbl> <int> <dbl>
## 1 Australia 0 14 17.3
## 2 Australia 1 2 2.47
## 3 Canada 0 17 21.0
## 4 Canada 1 20 24.7
## 5 New Zealand 0 3 3.7
## 6 New Zealand 1 3 3.7
## 7 U.S.A. 0 18 22.2
## 8 U.S.A. 1 4 4.94
```
---
class: blue-title
### Making Tables in R with dplyr
```r
chocolate_data_sm %>%
group_by(company_loc, cocoa_pct_above_70) %>%
count() %>%
mutate(percent = (n/sum(n)*100) %>%
round(2))
```
```
## # A tibble: 8 x 4
## # Groups: company_loc, cocoa_pct_above_70 [8]
## company_loc cocoa_pct_above_70 n percent
## <chr> <dbl> <int> <dbl>
## 1 Australia 0 14 100
## 2 Australia 1 2 100
## 3 Canada 0 17 100
## 4 Canada 1 20 100
## 5 New Zealand 0 3 100
## 6 New Zealand 1 3 100
## 7 U.S.A. 0 18 100
## 8 U.S.A. 1 4 100
```
---
class: blue-title
### Making Tables in R with dplyr
```r
chocolate_data_sm %>%
group_by(company_loc, cocoa_pct_above_70) %>%
count() %>%
ungroup() %>%
mutate(percent = (n/sum(n)*100) %>%
round(2) %>%
format(nsmall = 2) %>%
paste0('%'))
```
```
## # A tibble: 8 x 4
## company_loc cocoa_pct_above_70 n percent
## <chr> <dbl> <int> <chr>
## 1 Australia 0 14 "17.28%"
## 2 Australia 1 2 " 2.47%"
## 3 Canada 0 17 "20.99%"
## 4 Canada 1 20 "24.69%"
## 5 New Zealand 0 3 " 3.70%"
## 6 New Zealand 1 3 " 3.70%"
## 7 U.S.A. 0 18 "22.22%"
## 8 U.S.A. 1 4 " 4.94%"
```
---
class: blue-title
### Making Tables in R with dplyr
```r
mtcars %>%
group_by(vs,am) %>%
count() %>%
ungroup() %>%
mutate(percent = (n/sum(n)*100) %>%
round(2) %>%
format(nsmall = 2) %>%
paste0('%'))
```
```
## # A tibble: 4 x 4
## vs am n percent
## <dbl> <dbl> <int> <chr>
## 1 0 0 12 37.50%
## 2 0 1 6 18.75%
## 3 1 0 7 21.88%
## 4 1 1 7 21.88%
```
---
class: blue
### R Markdown (RMD)
<div style='width:35%; float:left;'>
<ul>
<li>Great for sending reproducible reports to others</li>
<li>Main output files are HTML, PDF and Word</li>
</ul>
</div>
<div style='width:65%; float:left;'>
<img src="rmd_image.png" width="1933" />
</div>
<div style='clear:both;'>
</div>
---
class: purple-title
### kableExtra Package
Creates nicer looking tables for your reports!
<img src="from_this_to_this.jpg" width="23429" />
---
class: redish
<div style='width:18%; float:right;'>
<img src="kable_extra_logo.svg" style="display: block; margin: auto;" />
</div>
### Using the kableExtra Package
<div style='clear:both;'>
</div>
To install the kableExtra package:
```r
install.packages("kableExtra")
```
<br/><br/>
To load kableExtra:
```r
library(kableExtra)
```
---
class: purple-title
### kableExtra: main functions
+ kable() function comes from knitr to create tables
--
+ some parameters I often use:
* col.names - allows you to rename your column names
* caption - adds a caption to the top of your table
--
+ kable_styling() allows many different options to modify tables easily*
--
+ Within this function some things you can do include:
* style the font
* Alternate the color of your rows
* Alter the width and position of your table
.footnote[<i>* = at least more easily than having to code all of the modifications from scratch. I have still screamed at my computer while using kable_styling()</i>]
---
class: purple
### Live coding time!
---
class: inverse
### Resources
#### kableExtra (Package by Hao Zhu)
+ An explanation of the main features of the package, written by Hau Zhu: https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html
+ R Cookbook explanation of kableExtra: https://bookdown.org/yihui/rmarkdown-cookbook/kableextra.html
#### R Markdown
+ Dataquest's R Markdown Guide: https://www.dataquest.io/blog/r-markdown-guide-cheatsheet/
+ R Markdown Reference Guide: https://rstudio.com/wp-content/uploads/2015/03/rmarkdown-reference.pdf
+ R Markdown Cheatsheet (open R, go to 'Help', 'Cheatsheets', then click 'R Markdown Cheatsheet')
<i> Chocolate dataset came from Kaggle, "Chocolate Bar Ratings" uploaded by Rachael Tatman</i>
---
</textarea>
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