CandidatesDefault {GaussSuppression}

R Documentation

Candidates functions

Description

Function for GaussSuppressionFromData

Usage

CandidatesDefault(freq, x, secondaryZeros = FALSE, weight, ...)

CandidatesNum(secondaryZeros = FALSE, freq = NULL, num, weight, x, ...)

Arguments

freq	Vector of output frequencies
x	The model matrix
secondaryZeros	When TRUE, cells with zero frequency or value are prioritized to be published so that they are not secondary suppressed. This is achieved by this function by having the zero frequency indices first in the retuned order.
weight	Vector of output weights
...	Unused parameters
num	Data frame of output aggregates calculated from numVar. When several variables, only first is used.

Details

CandidatesDefault orders the indices decreasingly according to freq or, when weight is non-NULL, (freq+1)*weight. Ties are handled by prioritizing output cells that are calculated from many input cells. In addition, zeros are handled according to parameter secondaryZeros. When freq is negative (special hierarchy), abs(freq)*weight is used.

CandidatesNum orders the indices decreasingly according to absolute values of the numeric variable (according to abs(num[[1]])). In practice this is done by running CandidatesDefault with manipulated weights.

Value

candidates, GaussSuppression input

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