plot_model_fits: Model plotting function

In jameshay218/mcmcJH: Generic random walk MCMC algorithm for parameter inference

Description

Provides a neat plot of the provided data, "best fit" line and prediction intervals.

Usage

plot_model_fits(model_data, actual_data, group, plot_bounds, lower = NULL,
  upper = NULL, infection_times = NULL, plot_title = NULL)

Arguments

model_data	a data frame containing the best fit model trajectory. Should be three columns: variable (time), value and strain. Strain is simply a grouping variable and could be anything (eg. age group, location)
actual_data	a data frame containing the actual data. Columns are same as model_data
group	this is simply used for the file name of the plot. _fit.pdf will be appended
lower	OPTIONAL coordinates of the lower prediction bound
upper	OPTIONAL coordinates of the upper prediction bound
infection_times	OPTIONAL data frame to mark vertical lines representing events. A data frame with columns time and infection, with the time and label respectively
plot_title	OPTIONAL plot title

Value

returns the ggplot object

See Also

restrain_bounds, create_ploygons

jameshay218/mcmcJH documentation built on May 18, 2019, 11:20 a.m.