---
title: "hexSticker"
author: "<h4>Author: <i>Brian M. Schilder</i></h4>" 
date: "<h4>Most recent update: <i>`r format( Sys.Date(), '%b-%d-%Y')`</i></h4>"
output: rmarkdown::html_vignette
editor_options: 
  chunk_output_type: inline
vignette: >
  %\VignetteIndexEntry{hexSticker}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.width = 7, fig.height = 5, root.dir=here::here())
knitr::opts_knit$set(root.dir=here::here())
```

You can make awesome hex stickers for your R packages using [hexSticker](https://github.com/GuangchuangYu/hexSticker). 

# orthogene

Silhouettes from [phylopic](http://phylopic.org/). 

[ggimage](https://github.com/GuangchuangYu/ggimage) let's you render images as data points.

[ggpattern](https://coolbutuseless.github.io/package/ggpattern/) lets you fill objects with patterns or images.


```{r, eval=FALSE}
library(hexSticker)
library(dplyr)
library(ggplot2)
library(ggimage)
library(ggpattern)# remotes::install_github("coolbutuseless/ggpattern")
library(ggplot2)

pBase <- "http://phylopic.org/assets/images/submissions"
image_info <- data.frame(
                image = file.path(pBase, 
                          c("c089caae-43ef-4e4e-bf26-973dd4cb65c5.512.png",# Human  
                            "eedde61f-3402-4f7c-9350-49b74f5e1dba.512.png", # Macaque
                            "c8f71c27-71db-4b34-ac2d-e97fea8762cf.original.png", # Mouse
                            "6f4c653a-1da1-4e02-85ef-6344b2d8e02a.512.png", # Zebrafish
                            "ea8fa530-d856-4423-a81d-a74342cd1875.512.png", # Fly
                            "d6af4346-e56c-4f3d-84c7-fba921a293f1.512.png" # Worm
                          )
                          ),
                species = c("Human", "Macaque", "Mouse",
                            "Zebrafish", "Fly","Worm"
                            ),
                size=c(.5,1,1.1, 
                       1.1,1.1,1)/5,
                alpha=c(.8,.8,1,
                        .8,.8,1)
                ) 
image_info <- rbind(image_info, image_info[1,] %>% dplyr::mutate(size=0))

### From ggimage code
polygon_df <- dplyr::tibble(
  angle = seq(0, 2*pi, length.out = 7) + pi/6,
  x     = cos(angle),
  y     = sin(angle)
)
polygon_df2 <- dplyr::tibble(
  angle = seq(0, 2*pi, length.out = 7) + pi/6,
  x     = cos(angle)*1.25,
  y     = sin(angle)*1.25
)


d <- cbind(polygon_df, image_info)

hex_species <- ggplot(d, aes(x, y)) + 
   ggpattern::geom_polygon_pattern(data = polygon_df2,
                                   pattern= 'image',
                                   aes(x=I(x/1), y=I(y/1)),
                                   pattern_type = 'expand',
    pattern_filename = here::here("inst/images/purple_blue.jpeg"), 
    inherit.aes = FALSE) +  
   geom_path(color="white", size = .8, alpha=.1) +
   geom_path(color="white", size=.5, alpha=.5) +
   geom_path(color="white", size=.1, alpha=1) +  
   # geom_image(aes(image=image), size=.12, color="white", alpha=.1) + 
   # geom_image(aes(image=image), size=.11, color="white", alpha=.2) + 
   geom_image(aes(image=image, x=I(x/1), y=I(y/1), size=I(size), alpha=I(alpha)), color="white") + 
   theme_void()

s_width <- 1.6
s <- sticker(hex_species,
          package="orthogene", p_size=20, p_y = 1,
          s_x=1, s_y=1, s_width=s_width, s_height=s_width*1.11111, 
          h_color = "black", h_fill = "#330862",white_around_sticker = TRUE,
          filename=here::here("inst/hex/orthogene.png"), dpi = 400)

print(s)
```


# Session Info 

<details> 

```{r Session Info}
utils::sessionInfo()
```

</details>  

