sb_percentiles: Estimate percentiles from splinebins
In binsmooth: Generate PDFs and CDFs from Binned Data

Description Usage Arguments Details Value Author(s) References Examples

View source: R/sb_percentiles.R

Estimates percentiles of a smoothed distribution obtained using splinebins.

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

`splinebinFit`	A list as returned by `splinebins`.
`p`	A vector of percentages in the range 0 ≤ p ≤ 100.

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

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

David J. Hunter and McKalie Drown

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/

# 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))