Load a cross-sectional antibody survey data set

Usage

load_pop_data(file_path, ...)

Arguments

file_path

path to an RDS file containing a cross-sectional antibody survey data set, stored as a data.frame() or tibble::tbl_df

...

Arguments passed on to as_pop_data

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
id: a character() identifying the id column
value: a character() identifying the value column
standardize: a logical() to determine standardization of columns

Value

a pop_data object (a tibble::tbl_df with extra attributes)

Examples

xs_data <- load_pop_data(serocalculator_example("example_pop_data.rds"))

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