draw_history: Create a plot of COVID-19, by count and by density of...

In BigelowLab/stcovid: stcovid - state and county centric data from COVID19 data hub

Description

Create a plot of COVID-19, by count and by density of confirmed cases.

Usage

draw_history(
  x = read_datahub(state = "Maine"),
  pop = read_census(state = "Maine"),
  varname = "Confirmed",
  State_name = "",
  N = 1,
  threshold = c(10, NA)[1],
  logscale = TRUE
)

Arguments

x	tibble of COVID-19 and census data
pop	SF MUTLIPOLYGON table of county level geometry and population
varname	character, the name of the variable to draw ala 'Confirmed', 'Recovered', 'Deaths' etc.
State_name	character, for title, otherwise skip with ""
N	numeric, scaling for density. By default cases per 1000 people.
threshold	numeric, clip records (by county) where varname is less than this value. Set to NA to keep all.
logscale	logical, if TRUE then logscale the the dependent variables

Value

a ggplot object

BigelowLab/stcovid documentation built on May 1, 2020, 3:59 p.m.