as_pop_data: Load a cross-sectional antibody survey data set

In serocalculator: Estimating Infection Rates from Serological Data

Load a cross-sectional antibody survey data set

Description

Load a cross-sectional antibody survey data set

Usage

as_pop_data(
  data,
  antigen_isos = NULL,
  age = "Age",
  value = "result",
  id = "index_id",
  standardize = TRUE
)

Arguments

data	a data.frame() or tibble::tbl_df
antigen_isos	character() vector of antigen isotypes to be used in analyses
age	a character() identifying the age column
value	a character() identifying the value column
id	a character() identifying the id column
standardize	a logical() to determine standardization of columns

Value

a pop_data object (a tibble::tbl_df with extra attribute antigen_isos)

Examples

library(magrittr)
xs_data <-
  serocalculator_example("example_pop_data.csv") %>%
  read.csv() %>%
  as_pop_data()

print(xs_data)

serocalculator documentation built on April 3, 2025, 7:35 p.m.