Anthropometric measurements are randomly generated using normal approximation. The default mean and standard deviation values used are based on US National Health Statistics for adults aged 20 years or over. The measurements are generated in same units as provided to the function.
h_anthropometrics_by_sex(
df,
seed = 1,
id_var = "USUBJID",
sex_var = "SEX",
sex_var_level_male = "M",
male_weight_in_kg = list(mean = 90.6, sd = 44.9),
female_weight_in_kg = list(mean = 77.5, sd = 46.2),
male_height_in_m = list(mean = 1.75, sd = 0.14),
female_height_in_m = list(mean = 1.61, sd = 0.24)
)a dataframe with anthropometric measurements for each subject in analysis dataset.
(data.frame)
Analysis dataset.
(numeric)
Seed to use for reproducible random number generation.
(character)
Patient identifier variable name.
(character)
Name of variable representing sex of patient.
(character)
Level of sex_var representing males.
(named list)
List of means and SDs of male weights in kilograms.
(named list)
List of means and SDs of female weights in kilograms.
(named list)
List of means and SDs of male heights in metres.
(named list)
list of means and SDs of female heights in metres.
One record per subject.