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Package: ggpomological
Version: 0.0.0.9000
Title: Pomological plot themes for ggplot2
Description: Pomological plot themes and scales for ggplot2 (in progress)
Authors@R: person("Garrick", "Aden-Buie", , "g.adenbuie@gmail.com", c("aut", "cre"))
License: CC0
Encoding: UTF-8
LazyData: true
ByteCompile: true

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## creative commons

# CC0 1.0 Universal

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---
title: "Pomological Colors"
author: "Garrick Aden-Buie"
date: "2/4/2018"
output: github_document
editor_options:
chunk_output_type: console
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.width=8, fig.height=5)
```

## Pomological Plots

![](pom-examples.jpg)

Inspired by talk at **LINK rstudio conf** by **LINK talk about parameterized rmarkdown**.

Went through **LINK USDA pomological** oh and also **LINK @pomological**.

<https://usdawatercolors.nal.usda.gov/pom>

## Color Palette

Picked out a LOT of colors.

![](pomological_colors.png)

Chose a few:

```{r}
pomological_palette <- c(
"#c03728", #red
"#919c4c", #green darkish
"#fd8f24", #orange brighter
# "#f2692e", #orange
"#f5c04a", #yelloww
"#e68c7c", #pink
"#828585", #light grey
"#c3c377", #green light
"#4f5157", #darker blue/grey
# "#912b1b", #red, darker
"#6f5438", #lighter brown
# "#ec4339", #red/pink
# "#6b452b", #brown
NULL
)

pomological_base <- list(
"paper" = "#fffeea",
'paper_alt' = "#f8eed1",
'light_line' = '#efe1c6',
'medium_line' = "#a89985",
'darker_line' = "#6b452b",
'black' = "#3a3e3f",
"dark_blue" = "#2b323f"
)

# Palette colors
scales::show_col(pomological_palette)
# Base colors
scales::show_col(unlist(pomological_base))
```


## Setup theme and scales

Theme is basic in two flavors, one with paper-colored background and the other transparent bg.

Uses fonts from Google! I tried a few, liked

- [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/)

I also have a handwriting font from my own handwriting that looks great

```{r pomological-theme}
pomological_theme <- function(
base_family = 'Homemade Apple',
base_size = 16,
text.color = NULL,
plot.background.color = NULL,
panel.grid.color = NULL,
panel.grid.linetype = 'dashed',
axis.text.color = NULL,
axis.text.size = base_size * 14/16,
base_theme = ggplot2::theme_minimal()
) {
pomological_base <- list(
"paper" = "#fffeea",
'paper_alt' = "#f8eed1",
'light_line' = '#efe1c6',
'medium_line' = "#a89985",
'darker_line' = "#6b452b",
'black' = "#3a3e3f",
"dark_blue" = "#2b323f"
)
base_theme +
ggplot2::theme(
text = element_text(
family = base_family,
size = base_size,
color = ifelse(hasArg(text.color), text.color, pomological_base$dark_blue)
),
plot.background = element_rect(
fill = ifelse(hasArg(plot.background.color), plot.background.color, pomological_base$paper),
color = NA
),
panel.grid = element_line(
color = ifelse(hasArg(panel.grid.color), panel.grid.color, pomological_base$light_line),
linetype = panel.grid.linetype),
axis.text = element_text(
color = ifelse(hasArg(axis.text.color), axis.text.color, pomological_base$medium_line),
size = axis.text.size)
)
}

pomological_theme_nobg <- function(...) {
dots <- list(...)
dots$plot.background.color <- 'transparent'
do.call('pomological_theme', args = dots)
}
```


scales...


```{r pomological-scales}
# learned this from https://github.com/hrbrmstr/hrbrthemes/blob/13f9b59579f007b8a5cbe5c699cbe3ec5fdd28a1/R/color.r
pomological_pal <- function() scales::manual_pal(pomological_palette)

# Scale color
scale_colour_pomological <- function(...) ggplot2::discrete_scale("colour", "pomological", pomological_pal(), ...)
scale_color_pomological <- scale_colour_pomological

# Scale fill
scale_fill_pomological <- function(...) ggplot2::discrete_scale('fill', 'pomological', pomological_pal(), ...)
```


In the future, I might come back to this to:

1. Increase colors in discrete scale

2. Setup a color-pairs plot. Lots of great color pairs in the extracted colors.

3. Set up continuous scale colors (meh.)


## Add paper background!

This is great. Uses **LINK magick** to add paper background.

```{r paint_pomological}
paint_pomological <- function(
pomo_gg,
width = 800,
height = 500,
pointsize = 16,
pomological_background = 'pomological_bg.png',
pomological_overlay = "pomological_overlay.jpg",
outfile = NULL,
...
) {
requireNamespace('magick', quietly = TRUE)
requireNamespace('glue', quietly = TRUE)
if (!file.exists(pomological_background)) {
warning(glue::glue("Cannot find file \"{pomological_background}\", so you can have your plot back!"))
return(pomo_gg)
}
# Paint figure
gg_fig <- magick::image_graph(width, height, bg = 'transparent', pointsize = pointsize, ...)
print(pomo_gg)
dev.off()
if (!is.null(pomological_overlay) && file.exists(pomological_overlay)) {
pomo_over <- magick::image_read(pomological_overlay)
pomo_over <- magick::image_resize(pomo_over, glue::glue("{width}x{height}!"))
gg_fig <- magick::image_composite(gg_fig, pomo_over, "blend", compose_args = "15")
}
# Paint background
pomo_bg <- magick::image_read(pomological_background)
pomo_bg <- magick::image_resize(pomo_bg, glue::glue("{width}x{height}!"))
pomo_bg <- magick::image_crop(pomo_bg, glue::glue("{width}x{height}"))
# Paint figure onto background
pomo_img <- magick::image_composite(pomo_bg, gg_fig)
if (!is.null(outfile)) {
# Do you want your picture framed?
magick::image_write(pomo_img, outfile)
}
pomo_img
}
```


## Demo!

We'll need dplyr and ggplot2

```{r libraries}
library(dplyr)
library(ggplot2)
```

### Basic iris plot

```{r demo-plots}
# 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

# With pomological theme
basic_iris_plot +
pomological_theme() +
scale_color_pomological()


# With transparent background
pomological_iris <- basic_iris_plot +
pomological_theme_nobg() +
scale_color_pomological()
pomological_iris

# Painted!
paint_pomological(pomological_iris, res = 110)
```

### Stacked bar chart


```{r bar-chart}
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 + pomological_theme()

paint_pomological(
stacked_bar_plot + pomological_theme_nobg(),
res = 110
)
```

### Density Plot

```{r plot-density}
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 + pomological_theme()

paint_pomological(
density_plot + pomological_theme_nobg(),
res = 110
)
```


### Points and lines

Data from the Texas Housing

```{r plot-points-lines}
big_volume_cities <- txhousing %>%
group_by(city) %>%
summarize(mean_volume = mean(volume, na.rm = TRUE)) %>%
arrange(-mean_volume) %>%
top_n(length(pomological_palette)) %>%
pull(city)

point_line_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()

point_line_plot + pomological_theme()

paint_pomological(
point_line_plot + pomological_theme_nobg(),
res = 110
)
```

### One last plot

(in my handwriting)

```{r plot-ridges}
ridges_pomological <- ggplot(diamonds) +
aes(x = carat, y = clarity, color = clarity, fill = clarity) +
ggridges::geom_density_ridges(alpha = 0.75) +
pomological_theme_nobg(
base_family = 'gWriting',
base_theme = ggridges::theme_ridges()
) +
scale_fill_pomological() +
scale_color_pomological()

paint_pomological(ridges_pomological, res = 110)
```



## Appendix

Some functions I wrote while exploring colors

```{r appendix, eval=FALSE}
# load all colors
x <- readLines("~/Desktop/pomological.css")
x <- stringr::str_extract(x, "#[0-9a-f]{6}")
x <- x[!is.na(x)]

gg_color_hue <- function(n) {
hues = seq(15, 375, length = n + 1)
hcl(h = hues, l = 65, c = 100)[1:n]
}

col2hsv <- function(x) rgb2hsv(col2rgb(x))


dist2ref_color <- function(color, ref_color) {
stopifnot(length(ref_color) == 1)
x <- col2hsv(c(color, ref_color)) %>%
t %>%
dist %>%
as.matrix %>%
{tibble('ref_color' = .[length(color) + 1, 1:length(color)])}
names(x) <- ref_color
x
}

compare_to_ggplot <- function(compare_to_ggplot) {
pomo_gg <- map_dfr(set_names(compare_to_ggplot), ~ as_tibble(t(col2hsv(.))), .id = "color") %>%
bind_cols(
map_dfc(gg_color_hue(set_names(length(compare_to_ggplot))), ~ dist2ref_color(compare_to_ggplot, .))
) %>%
tidyr::gather('ggplot_color', 'dist', -color:-v) %>%
# group_by(color) %>%
# do(dist = min(.$dist), ggplot_color = filter(., dist == min(.$dist))$ggplot_color) %>%
# mutate(dist = map_dbl(dist, ~ .), ggplot_color = map_chr(ggplot_color, ~ .)) %>%
# ungroup %>%
mutate(ggplot_color = factor(ggplot_color, gg_color_hue(length(compare_to_ggplot)))) %>%
arrange(ggplot_color)
warning(glue::glue("Palette has {length(compare_to_ggplot)} colors"), call. = FALSE)
ggplot(pomo_gg) +
aes(x = ggplot_color, y = dist, fill = color, label = color) +
geom_label(color = 'white')+
# geom_point(shape = 15, size = 5) +
scale_fill_identity()
}

data_frame(
'color' = color_options,
# 'group' = sample(c('pomo', 'logical'), length(color_options), replace = TRUE),
'x' = pmap_chr(tidyr::crossing(letters, letters), ~paste0(..1, ..2))[1:length(color_options)],
'y' = 1:length(color_options)
) %>%
ggplot() +
aes(x, y, fill = color) +
# geom_point(size = 8)+
geom_col()+
geom_text(aes(label = color), hjust = -0.1) +
scale_fill_identity() +
coord_flip() +
theme_minimal() +
#theme_xkcd() +
theme(
text = element_text(family = 'gWriting', size = 16),
plot.background = element_rect(fill = base_colors["paper_light"], color = NA),
panel.grid = element_line(color = "#efe1c6"),
axis.text = element_text(color = "#655843", size = 14)
)

ordered_plot <- function(color_options, dichromat = FALSE) {
if (dichromat) {
dichr_type <- sample(c("deutan", "protan", "tritan"), 1)
message(glue::glue("color blindness: {dichr_type}"))
color_options <- dichromat::dichromat(color_options, dichr_type)
}
data_frame(
color = color_options,
x = 1,
y = 1:length(color_options)
) %>%
ggplot() +
aes(x, y, fill = color, label = color) +
geom_tile() +
geom_label(color = 'white') +
scale_fill_identity()+
scale_y_continuous(breaks = 1:length(color_options), labels = 1:length(color_options))+
theme_minimal()
}
```

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Version: 1.0

RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default

EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8

RnwWeave: Sweave
LaTeX: pdfLaTeX

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pomo-2b323f {
color: #2b323f;
}
pomo-e68c7c {
color: #e68c7c;
}
pomo-eb8c5f {
color: #eb8c5f;
}
pomo-df415a {
color: #df415a;
}
pomo-f52300 {
color: #f52300;
}
pomo-ec4339 {
color: #ec4339;
}
pomo-a81816 {
color: #a81816;
}
pomo-912b1b {
color: #912b1b;
}
pomo-c03728 {
color: #c03728;
}
pomo-f2692e {
color: #f2692e;
}
pomo-fd8f24 {
color: #fd8f24;
}
pomo-f5c04a {
color: #f5c04a;
}
pomo-fdd562 {
color: #fdd562;
}
pomo-cfbc56 {
color: #cfbc56;
}
pomo-c2c377 {
color: #c2c377;
}
pomo-89a954 {
color: #89a954;
}
pomo-919c4c {
color: #919c4c;
}
pomo-79874a {
color: #79874a;
}
pomo-586939 {
color: #586939;
}
pomo-3c5e27 {
color: #3c5e27;
}
pomo-2b5000 {
color: #2b5000;
}
pomo-302c28 {
color: #302c28;
}
pomo-252a34 {
color: #252a34;
}
pomo-2f333d {
color: #2f333d;
}
pomo-3a3e3f {
color: #3a3e3f;
}
pomo-4f5157 {
color: #4f5157;
}
pomo-828585 {
color: #828585;
}
pomo-633027 {
color: #633027;
}
pomo-6b452b {
color: #6b452b;
}
pomo-6f5438 {
color: #6f5438;
}
pomo-918257 {
color: #918257;
}
pomo-938e53 {
color: #938e53;
}
pomo-fde09f {
color: #fde09f;
}
pomo-dfbc97 {
color: #dfbc97;
}
pomo-eedcb6 {
color: #eedcb6;
}
pomo-efe1c6 {
color: #efe1c6;
}
pomo-f8eed1 {
color: #f8eed1;
}
pomo-fef4d8 {
color: #fef4d8;
}
pomo-fff6da {
color: #fff6da;
}
pomo-fffeea {
color: #fffeea;
}
pomo-a59889 {
color: #a59889;
}
pomo-655843 {
color: #655843;
}
pomo-aea795 {
color: #aea795;
}
pomo-a89985 {
color: #a89985;
}

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pomological_bg.png 查看文件

Before After
Width: 1708  |  Height: 1739  |  Size: 4.6MB

二進制
pomological_colors.png 查看文件

Before After
Width: 3330  |  Height: 2110  |  Size: 272KB

二進制
pomological_overlay.jpg 查看文件

Before After
Width: 4538  |  Height: 3200  |  Size: 6.4MB

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