binsmooth (version 0.2.2)

sb_percentiles: Estimate percentiles from splinebins

Description

Estimates percentiles of a smoothed distribution obtained using splinebins.

Usage

sb_percentiles(splinebinFit, p = seq(0,100,25))

Arguments

splinebinFit

A list as returned by splinebins.

p

A vector of percentages in the range \(0 \le p \le 100\).

Value

A vector of percentiles. Returns NA if an inaccurate fit is detected, as indicated by fitWarn.

Details

The approximate inverse of the CDF calculated by splinebins is used to approximate percentiles of the smoothed distribution.

References

Paul T. von Hippel, David J. Hunter, McKalie Drown. Better Estimates from Binned Income Data: Interpolated CDFs and Mean-Matching, Sociological Science, November 15, 2017. https://www.sociologicalscience.com/articles-v4-26-641/

Examples

# NOT RUN {
# 2005 ACS data from Cook County, Illinois
binedges <- c(10000,15000,20000,25000,30000,35000,40000,45000,
              50000,60000,75000,100000,125000,150000,200000,NA)
bincounts <- c(157532,97369,102673,100888,90835,94191,87688,90481,
               79816,153581,195430,240948,155139,94527,92166,103217)
splinefit <- splinebins(binedges, bincounts, 76091)
sb_percentiles(splinefit)
sb_percentiles(splinefit, c(27, 32, 93))
# }