nhanes_quantile: Compute quantiles from NHANES weighted survey data

In SilentSpringInstitute/RNHANES: Facilitates Analysis of CDC NHANES Data

Compute quantiles from NHANES weighted survey data

Description

Compute quantiles from NHANES weighted survey data

Usage

nhanes_quantile(
  nhanes_data,
  column,
  comment_column = "",
  weights_column = "",
  quantiles = seq(0, 1, 0.25),
  filter = NULL,
  ...
)

Arguments

nhanes_data	data frame containing NHANES data
column	column name of the variable to compute quantiles for
comment_column	comment column name of the variable for checking if computed quantiles are below the LOD
weights_column	name of the weights column
quantiles	numeric or vector numeric of quantiles to compute
filter	logical expression used to subset the data
...	additional arguments passed to svyquantile

Value

a data frame

Examples

## Not run: 
dat <- nhanes_load_data("UHG_G", "2011-2012", demographics = TRUE)

# Compute 50th, 95th, and 99th quantiles
nhanes_quantile(dat, "URXUHG", "URDUHGLC", "WTSA2YR", c(0.5, 0.95, 0.99))

## End(Not run)

SilentSpringInstitute/RNHANES documentation built on Feb. 15, 2024, 11:26 p.m.