{dplyr}
keep specified columns
{ggplot2}
use Cartesian coordinates
{ggplot2}
scale y axis to be continuous
{readr}
read comma delimited files
{ggplot2}
add layer of boxplots to plot
{tidyr}
pivot data frame to be longer
{ggplot2}
set guides for scale
{ggplot2}
create smoothed lines to plot
{base}
create vector of numbers, characters, etc.
{ggplot2}
create a plotting area
{ggplot2}
add layer of jittered points to plot
{ggplot2}
scale x axis to be continuous
{base}
load R packages
{base}
encode vector as factor
{ggplot2}
add layer of points to plot
{ggplot2}
create subplots from one variable
{base}
create sequences of numbers
{dplyr}
create or modify data columns
{dplyr}
rank vector elements with ties set to first
{tidyr}
drop rows containing missing values
{ggplot2}
create aesthetic mappings between data and plot
{ggplot2}
create violin plot
{ggplot2}
summarize y values for each x value
The end!