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
- 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)
#> # A tibble: 200 × 8
#> id Country cluster catchment age ageCat antigen_iso value
#> <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <dbl>
#> 1 P1 Pakistan Lyari Other kgh 13.2 5-15 HlyE_IgA 0.568
#> 2 P3 Pakistan Gillani Railway Stat… aku 18 16+ HlyE_IgA 5.69
#> 3 P5 Pakistan Gillani Railway Stat… aku 7.3 5-15 HlyE_IgA 1.23
#> 4 P7 Pakistan Civic Centre aku 2.6 <5 HlyE_IgA 1.08
#> 5 P9 Pakistan Gillani Railway Stat… aku 3.9 <5 HlyE_IgA 1.43
#> 6 P11 Pakistan Civic Centre aku 13 5-15 HlyE_IgA 3.06
#> 7 P13 Pakistan Machar Colony kgh 11 5-15 HlyE_IgA 0.779
#> 8 P15 Pakistan Machar Colony kgh 12 5-15 HlyE_IgA 1.90
#> 9 P17 Pakistan Machar Colony kgh 16 16+ HlyE_IgA 1.41
#> 10 P19 Pakistan Gillani Railway Stat… aku 14.4 5-15 HlyE_IgA 3.10
#> # ℹ 190 more rows