MaxError_CDF: Determine an approximate CDF's maximum error.

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

Description

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

Usage

MaxError_CDF(Y, est, ...)

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)
...	Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions.

Value

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

Examples

MaxError_CDF(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1), c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1))

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