geom_statebins {statebins} | R Documentation |
A statebins Geom
Description
Pass in a data frame of states and values and let this do the work. It enables
easy faceting and makes it simpler to have a uniform legend across all the
plots.
There are two special/critical aes()
mappings:
-
state
(so the geom knows which column to map the state names/abbrevs to) -
fill
(which column you're mapping the filling for the squares with)
Usage
geom_statebins(
mapping = NULL,
data = NULL,
border_col = "white",
border_size = 2,
lbl_size = 3,
dark_lbl = "black",
light_lbl = "white",
radius = grid::unit(6, "pt"),
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
GeomStatebins
Arguments
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
border_col |
border color of the state squares, default " |
border_size |
thickness of the square state borders |
lbl_size |
font size (relative) of the label text |
dark_lbl , light_lbl |
colrs to be uses when the label should be dark or light. The function automagically computes when this should be. |
radius |
the corner radius |
... |
other arguments passed on to |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
Format
An object of class GeomStatebins
(inherits from Geom
, ggproto
, gg
) of length 7.
Examples
## Not run:
library(statebins)
library(cdcfluview)
library(hrbrthemes)
library(tidyverse)
flu <- ili_weekly_activity_indicators(2017)
ggplot(flu, aes(state=statename, fill=activity_level)) +
geom_statebins() +
coord_equal() +
viridis::scale_fill_viridis(
name = "ILI Activity Level ", limits=c(0,10), breaks=0:10, option = "magma", direction = -1
) +
facet_wrap(~weekend) +
labs(title="2017-18 Flu Season ILI Activity Level") +
theme_statebins(base_family = font_ps) +
theme(plot.title=element_text(size=16, hjust=0)) +
theme(plot.margin = margin(30,30,30,30))
## End(Not run)