Plot the population posterior prediction for the fraction of samples with the variant of concern
Source:R/plot.R
plot_voc_frac.Rd
Plot the population posterior prediction for the fraction of samples with the variant of concern
Usage
plot_voc_frac(
posterior,
obs = NULL,
forecast_dates = NULL,
all_obs = FALSE,
central = FALSE,
voc_label = "variant of concern",
logit = TRUE,
...
)
Arguments
- posterior
A dataframe of posterior output as produced by
fv_tidy_posterior()
. For forecast dates to be extracted data withvalue_type == "cases"
must be present.- obs
A data frame of observed data as produced by
latest_obs()
.- forecast_dates
A data.frame in the format produced by
extract_forecast_dates()
(with at least a date variable and a Data unavailable variable)). Specifies when date availability should be add to plots. May contain faceting variables.- all_obs
Logical, defaults to
FALSE
. Should all observations be plot or just those in the date range of the estimates being plot.- central
Logical, defaults to FALSE. Should the mean and median central estimates be plot as dashed and solid lines respectively. Requires
mean
andmedian
variables to be present in the input.- voc_label
Character string giving the name to assign to the variant of concern. Defaults to "variant of concern".
- logit
Logical, defaults to
TRUE
. Should variant proportions be plot on the logit scale.- ...
Additional parameters passed to
plot_default()
.
See also
Plotting functions
add_forecast_dates()
,
plot.fv_forecast()
,
plot.fv_posterior()
,
plot_cases()
,
plot_default()
,
plot_growth()
,
plot_pairs()
,
plot_posterior()
,
plot_rt()
,
plot_theme()
,
plot_voc_advantage()
,
save_plots()
Examples
posterior <- fv_example(strains = 2, type = "posterior")
plot_voc_frac(posterior)