plot_attack_rates | R Documentation |
Plots inferred historical attack rates from the MCMC output on infection histories
plot_attack_rates(
infection_histories,
titre_dat,
strain_isolation_times,
n_alive = NULL,
pointsize = 1,
fatten = 1,
pad_chain = TRUE,
prior_pars = NULL,
plot_den = FALSE,
true_ar = NULL,
by_group = FALSE,
group_subset = NULL,
plot_residuals = FALSE,
colour_by_taken = TRUE,
by_val = 5
)
infection_histories |
the MCMC chain for infection histories |
titre_dat |
the data frame of titre data |
strain_isolation_times |
vector of the epochs of potential circulation |
n_alive |
vector with the number of people alive in each year of circulation. Can be left as NULL, and ages will be used to infer this |
pointsize |
Numeric - how big should each point be? |
fatten |
Numeric - fatten parameter for ggplot pointrange |
pad_chain |
if TRUE, fills the infection history data table with entries for non-infection events (ie. 0s). Can be switched to FALSE for speed to get a rough idea of what the attack rates look like. |
prior_pars |
if not NULL, a list of parameters for the attack rate prior, giving the assumed prior_version along with alpha and beta |
plot_den |
if TRUE, produces a violin plot of attack rates rather than pointrange |
true_ar |
data frame of true attack rates, with first column 'year' equal to 'strain_isolation_times', and second column 'AR' giving the attack rate. Column names: group, j, AR |
by_group |
if TRUE, facets the plot by group ID |
group_subset |
if not NULL, plots only this subset of groups eg. 1:5 |
plot_residuals |
if TRUE, plots the residuals between inferred and true attack rate |
colour_by_taken |
if TRUE, then colours the attack rates by whether or not titres against the circulating virus at that time were measured |
by_val |
frequency of x-axis labels |
resolution |
divides strain isolation times by this number for x axis labels |
a ggplot2 object with the inferred attack rates for each potential epoch of circulation
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