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figures-tables-captions.qmd
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figures-tables-captions.qmd
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# Figures, Tables, Captions.
You need figures and tables in your own writing, whether it be a journal paper, an internal document, or some documentation. In this section, we discuss how to add figures and tables into your rmarkdown document, and how to provide captions for them.
## Overview
* **Teaching** 10 minutes
* **Exercises** 10 minutes
## Questions
* How do I create a figure in rmarkdown?
* How do I create a table in rmarkdown?
* How do I add captions for figures and tables?
## Objectives
## Tables
To produce a table, I recommend you use the `kable` function from the `knitr` package.
### Demo {.demo}
`kable` takes a `data.frame` as input, and outputs the table into a `markdown table`, which will get rendered into the appropriate output format.
For example, let's say we wanted to share the first 6 rows of our gapminder data.
```{r read-gapminder, include = FALSE, echo = FALSE}
gapminder <- readr::read_csv(here::here("data", "gapminder.csv"))
```
This gives us the following output
```{r show-gapminder}
top_gap <- head(gapminder)
knitr::kable(top_gap)
```
So how does that work? `kable` prints out the following:
```
|country |continent | year| lifeExp| pop| gdpPercap|
|:-----------|:---------|----:|-------:|--------:|---------:|
|Afghanistan |Asia | 1952| 28.801| 8425333| 779.4453|
|Afghanistan |Asia | 1957| 30.332| 9240934| 820.8530|
|Afghanistan |Asia | 1962| 31.997| 10267083| 853.1007|
|Afghanistan |Asia | 1967| 34.020| 11537966| 836.1971|
|Afghanistan |Asia | 1972| 36.088| 13079460| 739.9811|
|Afghanistan |Asia | 1977| 38.438| 14880372| 786.1134|
```
And this then gets _rendered_ as a table. This works for HTML, PDF, and word!
#### Adding captions to a table
Now, say that we wanted to include a caption? We use the `caption` argument. This will also automatically number the table (woo! We'll cover this later).
```{r print-tab-gap-captions}
knitr::kable(top_gap,
caption = "The first 6 rows of the dataset, gapminder")
```
Some other useful features of `kable` include setting the rounding number, with the `digits` option.
For example, we could present the first 2 digits of each number like so:
```{r print-tab-gap-digits}
knitr::kable(top_gap,
caption = "The first 6 rows of the dataset, gapminder",
digits = 2)
```
There are other options that you can set in `kable`, but for these options will get you through a large majority of what you need. For more information on what `kable` can provide, see `?knitr::kable`.
There are many different ways to produce tables in R. We have chosen to show `kable` today because kable is minimal, but powerful. If you want to extend `kable` to do more, look at [kableExtra](https://cran.r-project.org/web/packages/kableExtra/index.html), in particular the option `kableExtra::kable_styling(latex_options = c("hold_position"))`.
### Your Turn {.exercise}
1. Create a summary of your gapminder data, and put it into a table.
1. Add a caption to this table
1. Set the number of decimals to 2.
## Figures
Printing figures is probably my favourite feature of rmarkdown. It is actually relatively straightforward in the case of plots. You provide the plot you want to show in a code chunk!
#### Demo {.demo}
For example, I can print a plot of the gapminder data for Australia like so:
```{r gg-gapminder}
library(ggplot2)
library(dplyr)
gapminder %>%
filter(country == "Australia") %>%
ggplot(aes(x = year,
y = lifeExp)) +
geom_point()
```
### Captions for figures {.demo}
Inserting a caption for a figure is a little bit different. The caption argument is controlled in the chunk option, under the option, `fig.cap`.
So to insert a figure, we do the following.
````markdown
`r ''````{r gg-oz-gapminder, fig.cap = "Life expectancy from 1952 - 2007 for Australia. Life expentancy increases steadily except from 1962 to 1969. We can safely say that our life expectancy is higher than it has ever been!"}
library(ggplot2)
library(dplyr)
gapminder %>%
filter(country == "Australia") %>%
ggplot(aes(x = lifeExp,
y = year)) +
geom_point()
```
````
Which would produce the following output
```{r gg-oz-gapminder, fig.cap = "Life expectancy from 1952 - 2007 for Australia. Life expentancy increases steadily except from 1962 to 1969. We can safely say that our life expectancy is higher than it has ever been!"}
library(ggplot2)
library(dplyr)
gapminder %>%
filter(country == "Australia") %>%
ggplot(aes(x = lifeExp,
y = year)) +
geom_point()
```
<!-- TODO: needs to be effectively evaluated? Little convoluted with the many backticks involved... -->
### Your Turn {.exercise}
* Create a plot with your .Rmd doc
* Add a figure caption
### Inserting images
We cannot always generate the graphics that we want - for example, we might have an image of something that we want to show, or perhaps a nice flowchart someone else made.
In our case, say we wanted to insert the new SSA logo into our document, there are two ways we can do this.
1. With `markdown` syntax
1. with `knitr::include_graphics()`
**Markdown syntax**
The markdown syntax to insert an image is: `![caption]("path/to/image")`
#### Demo {.demo}
So we could insert the new SSA vic logo by doing the following:
````markdown
```
![SSA Logo!](bit.ly/ssa-logo)
```
````
Which would give us the following output:
![SSA Logo!](figs/ssa-logo.png)
But say that we want more control over the output, like we want to center the image, and we want to make it smaller? Then you can use `knitr::include_graphics()`, and control the figure size using the options `out.width`, and add a caption with `fig.cap`.
````markdown
`r ''````{r ssa-logo, fig.align = 'center', out.width = "25%", fig.cap = "The new SSA logo, which is actually a scatterplot, which is super neat!"}
knitr::include_graphics(here::here("figs", "ssa-logo.png"))
```
````
```{r ssa-logo, fig.align = 'center', out.width = "25%", fig.cap = "The new SSA logo, which is actually a scatterplot, which is super neat!"}
knitr::include_graphics(here::here("figs", "ssa-logo.png"))
```
`
### Your Turn {.exercise}
1. Download [the gapminder logo](https://www.gapminder.org/wp-content/themes/gapminder/images/logo.png) and put it into a new directory call "figs"
1. Insert this image into your rmarkdown document around where you introduce gapminder.
## Summary
We've now learned how to insert tables, plots, and images into our documents!
<!-- - `pander` -->
<!-- - `xtable` -->
<!-- - `kableExtra` -->
<!-- - the list goes on! -->
<!-- - https://github.com/ropenscilabs/packagemetrics -->
<!-- - https://ropensci.org/blog/blog/2017/06/27/packagemetrics -->