covid_growth: Covid Growth Over Time

In bnorthrop/USevolve: US Election and Covid Evolution

Description

covid_growth streamlines the process for plotting a line graph to analyze longitudinal changes in a user-selected variable over time. Variable options include total cases ("tot_cases"), new cases ("new_cases"), total deaths ("tot_death"), and new deaths ("new_death").

Usage

covid_growth(
  states = c(),
  value,
  sum = FALSE,
  df_print = FALSE,
  interact = TRUE,
  ...
)

Arguments

states	region to analyze.
value	covid statistic to analyze.
sum	take sum of all cases over states or treat states individually.
df_print	print a data frame or not.
interact	whether additional information will display when user hovers over image (use ggplot or plotly)
...	pass other arguments

Value

a plotly or ggplot object.

See Also

ggplot2::ggplot()

Examples

covid_growth(states="colorado", df_print=FALSE, sum=FALSE)
covid_growth(states=c("colorado", "nevada"))
covid_growth(states=c("colorado", "nevada", "florida", "california"), df_print=FALSE, sum=FALSE)
covid_growth(states=c("colorado", "nevada", "florida", "california"), interact=FALSE)

bnorthrop/USevolve documentation built on Dec. 31, 2020, 8:56 p.m.