Generate a virtual population by directly resampling the NHANES data.
Generate a virtual population by directly resampling the NHANES data.
httkpop_direct_resample( nsamp = NULL, gendernum = NULL, agelim_years = NULL, agelim_months = NULL, weight_category = c("Underweight", "Normal", "Overweight", "Obese"), gfr_category = c("Normal", "Kidney Disease", "Kidney Failure"), reths = c("Mexican American", "Other Hispanic", "Non-Hispanic White", "Non-Hispanic Black", "Other") )
nsamp |
The desired number of individuals in the virtual population.
|
gendernum |
Optional: A named list giving the numbers of male and
female individuals to include in the population, e.g. |
agelim_years |
Optional: A two-element numeric vector giving the
minimum and maximum ages (in years) to include in the population. Default is
c(0,79). If |
agelim_months |
Optional: A two-element numeric vector giving the
minimum and maximum ages (in months) to include in the population. Default
is c(0, 959), equivalent to the default |
weight_category |
Optional: The weight categories to include in the
population. Default is |
gfr_category |
The kidney function categories to include in the
population. Default is |
reths |
Optional: a character vector giving the races/ethnicities to
include in the population. Default is |
A data.table where each row represents an individual, and each column represents a demographic, anthropometric, or physiological parameter.
Caroline Ring
Ring, Caroline L., et al. "Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability." Environment International 106 (2017): 105-118
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