rankDifference: Find rank improvement for one group

Description Usage Arguments Value Examples


Based on the paper 'Divergent Paths: Structural Change, Economic Rank, and the Evolution of Black-White Earnings Differences, 1940-2014', this function finds the change in rank for a given value. Aka: for any given toxicity level, and two different populations, this function returns the difference in the percentile for the toxicity. This is calculated by individually finding the toxicity percentile in each population and returning the difference. The return is group1 - group 2, and users should be aware that the calls rankDifference(group1, group2, 500) and rankDifference(group2, group1, 500) will not return the same answer.


rankDifference(group1, group2, value)



is meant to be a dataframe with 2 columns. The columns should be the toxicity in a location and the count of the population of interest in that location. Column names are not important, but columns must be ordered with concentration in the first column and population counts in the second column.


should have the same format as group1


is the level of toxicity you would like to find the rank difference at.


Returns the difference of percentiles that a specific value takes in 2 different distributions, as calculated using group1 - group2


rankDifference(group1, group2, 500)
rankDifference(data1990[, c(2, 3)], data1990[, c(2, 7)], 10000)

amd112/rseiAnalysis documentation built on May 28, 2019, 4:55 p.m.