L2empiric: Calculate the empirical L2norm between two CDFs.

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

Description

Calculates the L2 (squared error) area between the non-private CDF and the dpCDF

Usage

L2empiric(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

The empirical L2 norm

Examples

L2empiric(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1), c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1))

Example output

[1] 0.8944272

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