Description Usage Arguments Value Examples
Make seperate plots for each model compartment. Assumes model output is structured
as that produced from solve_ode
.
1 2 | plot_model(sim, prev_sim = NULL, model_labels = NULL, facet = TRUE,
interactive = FALSE)
|
sim |
A tibble of model output as formated by |
prev_sim |
A second tibble of model output formated as for |
model_labels |
A character vector of model names, defaults to |
facet |
Logical, defaults to |
interactive |
Logical, defaults to |
A Plot of each model compartments population over time.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | ## Intialise
N = 100000
I_0 = 1
S_0 = N - I_0
R_0 = 1.1
beta = R_0
##Time for model to run over
tbegin = 0
tend = 50
times <- seq(tbegin, tend, 1)
##Vectorise input
parameters <- as.matrix(c(beta = beta))
inits <- as.matrix(c(S = S_0, I = I_0))
sim <- solve_ode(model = SI_ode, inits, parameters, times, as.data.frame = TRUE)
plot_model(sim, facet = FALSE, interactive = FALSE)
plot_model(sim, facet = TRUE, interactive = FALSE)
## Compare with an updated model run
#'## Intialise
R_0 = 1.3
beta = R_0
parameters <- as.matrix(c(beta = beta))
new_sim <- solve_ode(model = SI_ode, inits, parameters, times, as.data.frame = TRUE)
plot_model(new_sim,sim, facet = FALSE, interactive = FALSE)
plot_model(new_sim, sim, facet = TRUE, interactive = FALSE)
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