diffatQuantile: Determine the distance between CDFs at key quantiles.

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

Description

Find the error (between 0 and 1) introduced by DP-Noise at a given quantile in the CDF

Usage

diffatQuantile(Y, est, quantile = 0.5, ...)

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).
quantile	A quantile value between 0 and 1, defaults to 0.5 for the median.
...	Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions.

Value

The error at the quantile specified by quantile

Examples

diffatQuantile(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1),
    c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1), .05)

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