Plot method for summary.seroincidence.by objects

Plot method for summary.seroincidence.by objects

Usage

# S3 method for class 'summary.seroincidence.by'
autoplot(object, type = "scatter", ...)

Arguments

object

a summary.seroincidence.by object (generated by applying the summary() method to the output of estimate_scr_by()).

type

character string indicating which type of plot to generate. The implemented options are:

• "scatter": calls strat_ests_scatterplot() to generate a scatterplot

• "bar": calls strat_ests_barplot() to generate a barplot

...

Arguments passed on to strat_ests_scatterplot

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

color_var

character which variable in object to use to determine point color

group_var

character which variable in object to use to connect points with lines (NULL for no lines)

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 <- estimate_scr_by(
  strata = c("catchment", "ageCat"),
  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)

est2sum |> strat_ests_scatterplot(
    type ="scatter",
    xvar = "ageCat",
    color_var = "catchment",
    CIs = TRUE,
    group_var = "catchment")