plot_model

data frame output from solve_eqns().

output

numeric value for line width in ggplot.

linesize

numeric value for textsize in ggplot.

xlabel

character string for y axis label.

ylabel

character string for legend title.

legend_title

character vector of the variable names in the order they should be plotted. Default is to obtain the order from the initial conditions vector 'ics'.

levels

vector specifying manual color scale. Length must equal the number of model variables.

values

extra argument to be passed through to ggplot scale_colour_manual: use 'labels' to change the legend names

Plot model output.
This function plots the output of a fitted model data frame.

Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.

plot_model: Plot model output. This function plots the output of a fitted model data frame.

Description

Usage

Arguments

Value