mergeHouseholdData: Replaces the raw household-level data with the anonymized...

In sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Replaces the raw household-level data with the anonymized household-level data in the full dataset for anonymization of data with a household structure (or other hierarchical structure). Requires a matching household ID in both files.

Description

Replaces the raw household-level data with the anonymized household-level data in the full dataset for anonymization of data with a household structure (or other hierarchical structure). Requires a matching household ID in both files.

Usage

mergeHouseholdData(dat, hhId, dathh)

Arguments

dat	a data.frame with the full dataset
hhId	name of the household (cluster) ID (identical in both datasets)
dathh	a dataframe with the treated household level data (generated for example with selectHouseholdData)

Value

a data.frame with the treated household level variables and the raw individual level variables

Author(s)

Thijs Benschop and Bernhard Meindl

Examples

## Load data
x <- testdata
## Create household level dataset
# x_hh <- selectHouseholdData(dat=x, hhId="ori_hid",
#   hhVars=c("urbrur", "roof",  "walls", "water", "electcon", "household_weights"))
# ## Anonymize household level dataset and extract data
# sdc_hh <- createSdcObj(x_hh, keyVars=c('urbrur','roof'), w='household_weights')
# sdc_hh <- kAnon(sdc_hh, k = 3)
# x_hh_anon <- extractManipData(sdc_hh)
# 
# ## Merge anonymized household level data back into the full dataset
# x_anonhh <- mergeHouseholdData(x, "ori_hid", x_hh_anon)
# 
# ## Anonymize full dataset and extract data
# sdc_full <- createSdcObj(x_anonhh, keyVars=c('sex', 'age', 'urbrur', 'roof'), w='sampling_weight')
# sdc_full <- kAnon(sdc_full, k = 3)
# x_full_anon <- extractManipData(sdc_full)

sdcMicro documentation built on Sept. 27, 2023, 5:07 p.m.