Work through Cedric's wonderful ggplot2 examples

[andrewcstewart]

https://cedricscherer.netlify.app/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/

Copied from the blog post for convenience:

Preparation {#prep}

• You can find the Rmarkdown script with the code executed in this blogpost here.
• You can also download the R script containing only the code here.
• You need to install the following packages to execute the full tutorial:
  • {ggplot2}, part of the {tidyverse} package collection
  • {tidyverse} package collection, namely
    • {dplyr} for data wrangling
    • {tibble} for modern data frames
    • {tidyr} for data cleaning
    • {forcats} for handling factors
  • {colorspace} for manipulating colors
  • {corrr} for calculating correlation matrices
  • {cowplot} for composing ggplots
  • {ggdark} for themes and inverting colors
  • {ggforce} for sina plots and other cool stuff
  • {ggrepel} for nice text labeling
  • {ggridges} for ridge plots
  • {ggsci} for nice color palettes
  • {ggtext} for advanced text rendering
  • {ggthemes} for additional themes
  • {grid} for creating graphical objects
  • {gridExtra} for additional functions for "grid" graphics
  • {patchwork} for multi-panel plots
  • {rcartocolor} for great color palettes
  • {scico} for perceptional uniform palettes
  • {showtext} for custom fonts
  • {shiny} for interactive apps
  • a number of packages for interactive visualizations
    • {charter}
    • {echarts4r}
    • {ggiraph}
    • {highcharter}
    • {plotly}

## install CRAN packages
install.packages(c("tidyverse", "colorspace", "corrr",  "cowplot", 
                   "ggdark", "ggforce", "ggrepel", "ggridges", "ggsci", 
                   "ggtext", "ggthemes", "grid", "gridExtra", "patchwork", 
                   "rcartocolor", "scico", "showtext", "shiny", 
                   "plotly", "highcharter", "echarts4r"))
## install from GitHub since not on CRAN
devtools::install_github("JohnCoene/charter")