MaxErrorAt_CDF: Locate where the maximum error occurs between two CDFs

In CDF.PSIdekick: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions

Description

Find the location of the maximum direct error between a non-private CDF and a DP approximation of that CDF.

Usage

MaxErrorAt_CDF(Y, est, range, gran, ...)

Arguments

Y	The vector output of a non-differentially private CDF computation (cumulative count bins)
est	The vector output of a differentially private CDF computation (cumulative count bins)
range	A vector length 2 containing user-specified min and max to truncate the universe to
gran	The smallest unit of measurement in the data (one [year] for a list of ages)
...	Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions.

Value

A single value, the value at which the largest absolute vertical difference between parallel observations in the private- and true-CDF vectors occurs.

Examples

MaxErrorAt_CDF(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1), c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1),
    range= c(1,10), gran =1)

CDF.PSIdekick documentation built on May 30, 2017, 5:09 a.m.