deident: Define a transformation pipeline

In deident: Persistent Data Anonymization Pipeline

Define a transformation pipeline

Description

deident() creates a transformation pipeline of 'deidentifiers' for the repeated application of anonymization transformations.

Usage

deident(data, deidentifier, ...)

Arguments

data	A data frame, existing pipeline, or a 'deidentifier' (as either initialized object, class generator, or character string)
deidentifier	A deidentifier' (as either initialized object, class generator, or character string) to be appended to the current pipeline
...	Positional arguments are variables of 'data' to be transformed and key-word arguments are passed to 'deidentifier' at creation

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

Examples

# 
pipe <- deident(ShiftsWorked, Pseudonymizer, Employee)

print(pipe)

apply_deident(ShiftsWorked, pipe)
  

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