Plot method for summary.seroincidence.by
objects
Source: R/autoplot.summary.seroincidence.by.R
autoplot.summary.seroincidence.by.Rd
Plot method for summary.seroincidence.by
objects
Usage
# S3 method for class 'summary.seroincidence.by'
autoplot(
object,
xvar,
alpha = 0.7,
shape = 1,
dodge_width = 0.001,
CIs = FALSE,
...
)
Arguments
- object
a
summary.seroincidence.by
object (generated by applying thesummary()
method to the output ofest.incidence.by()
).- xvar
the name of a stratifying variable in
object
- alpha
transparency for the points in the graph (1 = no transparency, 0 = fully transparent)
- shape
shape argument for
geom_point()
- dodge_width
width for jitter
- CIs
logical, if
TRUE
, add CI error bars- ...
unused
Value
a ggplot2::ggplot()
object
Examples
library(dplyr)
library(ggplot2)
xs_data <-
sees_pop_data_pk_100
curve <-
typhoid_curves_nostrat_100 %>%
filter(antigen_iso %in% c("HlyE_IgA", "HlyE_IgG"))
noise <-
example_noise_params_pk
est2 <- est.incidence.by(
strata = c("catchment"),
pop_data = xs_data,
curve_params = curve,
noise_params = noise,
curve_strata_varnames= NULL,
noise_strata_varnames = NULL,
antigen_isos = c("HlyE_IgG", "HlyE_IgA"),
num_cores = 2 # Allow for parallel processing to decrease run time
)
est2sum <- summary(est2)
autoplot(est2sum, "catchment")