excess_plot: Plot results from fitted excess count model

In excessmort: Excess Mortality

Description

Plot results from fitted excess count model

Usage

excess_plot(fit, title = "", ylim = NULL, show.data = TRUE, alpha = 0.05)

Arguments

fit	The output from 'excess_model'
title	A title to add to plot
ylim	A vector with two numbers that determines the kimits for the y-axis
show.data	A logical that determines if the observed percent changes are shown
alpha	1 - 'alpha' confidence intervals are shown

Value

An ggplot object containing the plot.

Examples

data(new_jersey_counts)
exclude_dates <- as.Date("2012-10-29") + 0:180
control_dates <- seq(min(new_jersey_counts$date), min(exclude_dates) - 1, by = "day")
f <- excess_model(new_jersey_counts,
start = as.Date("2012-09-01"), 
end = as.Date("2013-09-01"), 
exclude = exclude_dates,
model = "correlated",
weekday.effect = TRUE,
control.dates = control_dates)

library(ggplot2)
excess_plot(f)

excessmort documentation built on Oct. 11, 2021, 9:06 a.m.