add_numeric_blur: De-identification via numeric aggregation

In deident: Persistent Data Anonymization Pipeline

De-identification via numeric aggregation

Description

add_numeric_blur() adds an bluring step to a transformation pipeline (NB: intended for numeric data). When ran as a transformation, the data is split into intervals depending on the cuts supplied of the series [-Inf, cut.1), [cut.1, cut.2), ..., [cut.n, Inf] where cuts = c(cut.1, cut.2, ..., cut.n).

Usage

add_numeric_blur(object, ..., cuts = 0)

Arguments

object	Either a data.frame, tibble, or existing DeidentList pipeline.
...	variables to be transformed.
cuts	The position in which data is to be divided.

Value

A 'DeidentList' representing the untrained transformation pipeline. The object contains fields:

• deident_methods a list of each step in the pipeline (consisting of variables and method)

and methods:

• mutate apply the pipeline to a new data set

• to_yaml serialize the pipeline to a '.yml' file

deident documentation built on April 3, 2025, 6:14 p.m.