---
title: "ggRtsy"
author: "Katelyn Diaz, Tess Goldmann, Silas Weden"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{ggRtsy}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  message = FALSE,
  warning = FALSE,
  fig.width = 6
)

library(dplyr)
library(ggplot2)
library(ggRtsy)
library(purrr)

exampleData <- starwars %>%
 filter(mass < 1000)
plotExample <-  ggplot(exampleData, aes(x = height, y = mass)) +
  geom_point(size = 3) +
  scale_x_continuous()
```

## goghColors

The `ggArtsyR()` package works with `ggplot2()` to add an additional color palette to the user’s repertoire. This is the goghColors dataset, which contains the RGB and hex codes of colors picked from Van Gogh paintings.

```{r}
knitr::kable(head(goghColors,10))
```

## RectangleFiller()

ggRtsy also has a function that work alongside `ggplot2()` to create more interesting data visualizations and add contextual information to the user’s plots. This main function is `RectangleFiller()`, which divides data visualizations into a specified number of colored quadrants based on the number of input colors, improving the readability of graphs.

Using Hex Codes from the dataset `goghColors`, three colors were added on top of a `ggplot` sample scatter plot. Based on the plot, the function automatically calculated three equal widths of the rectangles, and stretched them to upper and lower bounds on the y-axis. 

```{r}
RectangleFiller(plotExample, c("#e32636", "#9966cc", "#f4c2c2", "#e16827"))
```

## rgbToHex()

This package comes with rgbToHex, converting rgb colors into hex code colors.

```{r}
rgbToHex(c("(225, 104, 39)","(60, 90, 202)"))
```

## Gogh Painting Sets

The dataset goghPaintingSets contains a list of every Gogh painting, some information about them, and a set of colors randomly pulled from it. This can be used to make your own Gogh themed colorsets.

```{r}
knitr::kable(head(goghPaintingSets,4))
```


## gogh_palettes_pop

For ease of use, gogh_palettes_pop is a list of color palettes from the most well known Gogh paintings.

`cafeTerrace` = '#2A6BBF', '#3F6CA6', '#F2C84B', '#D99036', '#BF6734'
![](https://uploads2.wikiart.org/images/vincent-van-gogh/cafe-terrace-place-du-forum-arles-1888(1).jpg!Large.jpg){width=200px}

### The palettes can be used in graphs as follows:


#### `scale_color_gogh` Continuous

```{r}
plotExample2 <- ggplot(exampleData, aes(x = height, y = mass, color = birth_year)) +
  geom_point(size = 2) +
  scale_color_gogh(palette = "cafeTerrace", discrete = FALSE) +
  theme_minimal()
plotExample2
```

#### `scale_color_gogh` Discrete

```{r, warning=FALSE, message=FALSE}
ggplot(storms, aes(x = hour, y = wind, color = status)) +
  geom_point(size = 3) +
  scale_color_gogh(palette = "wheatField", discrete = TRUE, reverse=FALSE) +
  theme_minimal()
```

#### `scale_fill_gogh` Discrete

```{r, warning=FALSE, message=FALSE}
ggplot(storms, aes(x = category, fill = status)) +
  geom_bar() +
  scale_fill_gogh(palette = "almondBlossoms", discrete = TRUE, reverse=FALSE) +
  theme_minimal()
```