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,
candidatesVar = NULL,
removeCodes = character(0),
removeCodesForCandidates = TRUE,
data,
charVar,
...
)
Arguments
freq 
Vector of output frequencies 
x 
The model matrix 
secondaryZeros 
When 
weight 
Vector of output weights 
... 
Unused parameters 
num 
Data frame of output aggregates calculated from 
candidatesVar 
One of the variable names from 
removeCodes 
Same parameter as used in suppression rules, e.g. 
removeCodesForCandidates 

data 
Input data as a data frame (needed for 
charVar 
Variable(s) with contributor codes (needed for 
Details
CandidatesDefault
orders the indices decreasingly according to freq
or,
when weight
is nonNULL, (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