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 |
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/
1 2 3 4 5 6 7 8 | # 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))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.