Pomological Colors
================
Garrick Aden-Buie
2/4/2018

<https://img.shields.io/badge/lifecycle-experimental-orange.svg>

## Pomological Plots

<!-- Links -->

This package provides a ggplot2 theme inspired by the [USDA Pomological
Watercolors collection](https://usdawatercolors.nal.usda.gov/pom) and by
Aron Atkins’s ([@aronatkins](https://twitter.com/aronatkins)) [talk on
parameterized RMarkdown](https://youtu.be/Ol1FjFR2IMU?t=5h21m15s) at
[rstudio::conf 2018](https://www.rstudio.com/conference/).

![](Readme_files/pom-examples.jpg)

## Color Palette

The colors for this theme were drawn from many images from the [USDA
Pomological Watercolors
collection](https://usdawatercolors.nal.usda.gov/pom), I chose just a
few that I thought worked well together for color and fill scales

``` r
scales::show_col(ggpomological:::pomological_palette)
```

![](Readme_files/figure-gfm/unnamed-chunk-1-1.png)<!-- -->

and a few colors for the plot background and decoration

``` r
scales::show_col(unlist(ggpomological:::pomological_base))
```

![](Readme_files/figure-gfm/unnamed-chunk-2-1.png)<!-- -->

I’ve also included a [css file](inst/pomological.css) with the complete
collection of color samples.

## Setup theme and scales

There are two theme-generating functions:

  - `theme_pomological()` sets the plot theme to be representative of
    the paper and styling of the watercolors and includes a
    paper-colored background,

  - and `theme_pomological_nobg()` has the same styling, just with a
    transparent (or white) background.

A handwriting font is needed for the fully authentic pomological look,
and I found a few from Google Fonts that fit the bill.

  - [Homemade Apple](https://fonts.google.com/specimen/Homemade+Apple/)
  - [Amatic SC](https://fonts.google.com/specimen/Amatic+SC/)
  - [Mr. Bedfort](https://fonts.google.com/specimen/Mr+Bedfort/)

Alternatively, use something like
[calligrapher.com](https://www.calligraphr.com/) to create your own
handwriting font\!

For color and fill scales, **ggpomological** provides
`scale_color_pomological()` and `scale_fill_pomological()`.

In the future, I might revisit this package to

1.  Increase colors in discrete scale

2.  Setup paired color scales. Lots of great color pairs in the
    extracted colors.

3.  Set up continuous scale colors (we’ll see…)

## Add paper background\!

**ggpomological** also provides a function named `paint_pomological`
that uses the
[`magick`](https://cran.r-project.org/web/packages/magick/index.html)
package to add a pomological watercolor paper background and a subtle
texture overlay.

## Demo\!

We’ll need dplyr and ggplot2 (loaded with **ggpomological**)

``` r
library(ggpomological)
```

    ## Loading required package: ggplot2

``` r
library(dplyr)
```

    ## 
    ## Attaching package: 'dplyr'

    ## The following objects are masked from 'package:stats':
    ## 
    ##     filter, lag

    ## The following objects are masked from 'package:base':
    ## 
    ##     intersect, setdiff, setequal, union

### Basic iris plot

``` r
# Base plot
basic_iris_plot <- ggplot(iris) +
  aes(x = Sepal.Length, y = Sepal.Width, color = Species) +
  geom_point(size = 2)

# Just your standard Iris plot
basic_iris_plot 
```

![](Readme_files/figure-gfm/plot-demo-1.png)<!-- -->

``` r
# With pomological theme
basic_iris_plot +
  theme_pomological() +
  scale_color_pomological()
```

![](Readme_files/figure-gfm/plot-demo-2.png)<!-- -->

``` r
# With transparent background
pomological_iris <- basic_iris_plot +
  theme_pomological_nobg() +
  scale_color_pomological()
pomological_iris 
```

![](Readme_files/figure-gfm/plot-demo-3.png)<!-- -->

``` r
# Painted!
paint_pomological(pomological_iris, res = 110) %>% 
  magick::image_write("Readme_files/figure-gfm/plot-demo-painted.png")
```

    ## Warning: Cannot find file ""

![](Readme_files/figure-gfm/plot-demo-painted.png)

### Stacked bar chart

``` r
stacked_bar_plot <- ggplot(diamonds) +
  aes(price, fill = cut) +
  geom_histogram(binwidth = 850) + 
  xlab('Price (USD)') + 
  ylab('Count') + 
  scale_x_continuous(label = scales::dollar_format()) +
  scale_fill_pomological()

stacked_bar_plot + theme_pomological()
```

![](Readme_files/figure-gfm/plot-bar-chart-1.png)<!-- -->

``` r
paint_pomological(
  stacked_bar_plot + theme_pomological_nobg(),
  res = 110
) %>% 
  magick::image_write("Readme_files/figure-gfm/plot-bar-chart-painted.png")
```

    ## Warning: Cannot find file ""

![](Readme_files/figure-gfm/plot-bar-chart-painted.png)

### Density Plot

``` r
density_plot <- mtcars %>% 
  mutate(cyl = factor(cyl)) %>% 
  ggplot() +
  aes(mpg, fill = cyl, color = cyl)+
  geom_density(alpha = 0.75) + 
  labs(fill = 'Cylinders', colour = 'Cylinders', x = 'MPG', y = 'Density') +
  scale_color_pomological() +
  scale_fill_pomological()

density_plot + theme_pomological()
```

![](Readme_files/figure-gfm/plot-density-1.png)<!-- -->

``` r
paint_pomological(
  density_plot + theme_pomological_nobg(),
  res = 110
) %>% 
  magick::image_write("Readme_files/figure-gfm/plot-density-demo-painted.png")
```

    ## Warning: Cannot find file ""

![](Readme_files/figure-gfm/plot-density-demo-painted.png)

### Points and lines

Data from the Texas Housing

``` r
big_volume_cities <- txhousing %>% 
  group_by(city) %>% 
  summarize(mean_volume = mean(volume, na.rm = TRUE)) %>% 
  arrange(-mean_volume) %>% 
  top_n(length(ggpomological:::pomological_palette)) %>% 
  pull(city)
```

    ## Selecting by mean_volume

``` r
full_bar_stack_plot <- txhousing %>% 
  filter(city %in% big_volume_cities) %>% 
  group_by(city, year) %>% 
  summarize(mean_volume = mean(volume, na.rm = TRUE)) %>% 
  ungroup %>% 
  mutate(city = factor(city, big_volume_cities)) %>% 
  ggplot() +
  aes(year, mean_volume, fill = city, group = city) +
  geom_col(position = 'fill', width = 0.9) +
  labs(x = 'City', y = 'Mean Volume', color = 'City') +
  theme(panel.grid.minor.x = element_blank()) +
  scale_fill_pomological()

full_bar_stack_plot + theme_pomological()
```

![](Readme_files/figure-gfm/plot-full-bar-stack-1.png)<!-- -->

``` r
paint_pomological(
  full_bar_stack_plot + theme_pomological_nobg(),
  res = 110
) %>% 
  magick::image_write("Readme_files/figure-gfm/plot-full-bar-stack-painted.png")
```

    ## Warning: Cannot find file ""

![](Readme_files/figure-gfm/plot-full-bar-stack-painted.png)

### One last plot

(in my handwriting)

``` r
ridges_pomological <- ggplot(diamonds) + 
  aes(x = carat, y = clarity, color = clarity, fill = clarity) + 
  ggridges::geom_density_ridges(alpha = 0.75) + 
  theme_pomological_nobg(
    base_family = 'gWriting',
    base_size = 20,
    base_theme = ggridges::theme_ridges()
    ) + 
  scale_fill_pomological() + 
  scale_color_pomological()

paint_pomological(ridges_pomological, res = 110) %>% 
  magick::image_write("Readme_files/figure-gfm/plot-ridges-painted.png")
```

    ## Warning: Cannot find file ""

    ## Picking joint bandwidth of 0.057

![](Readme_files/figure-gfm/plot-ridges-painted.png)