acs.quantile.stats: Compute quantiles and standard errors of quantiles on ACS...

In davidthaler/PUMSutils: Computes Point Estimates and Standard Errors on the ACS PUMS Data

Description

Estimate a range of quantiles on ACS PUMS data using the sample weights for the point estimate and the direct method, involving the replicate weights for estimating the standard errors of those quantiles.

Usage

acs.quantile.stats(x, field, result.name = NULL, probs = c(0.1, 0.25, 0.5,
  0.75, 0.9))

Arguments

x	a data frame of PUMS data
field	(string) name of a numerical field to take the quantiles over
result.name	name of estimate column in result; default is field
probs	a vector of quantiles to take; decimals in [0.0, 1.0]

Value

data.frame containing point estimate, standard error, and 90 margin-of-error for the selected quantiles of x$field

Examples

# Some quantiles of household income for Washington State in 2016
acs.quantile.stats(wa.house16, 'HINCP', 'HH.Income')

davidthaler/PUMSutils documentation built on July 13, 2019, 9:58 a.m.