samp: Sample Data for Heaping Correction Examples
In heaping: Correction of Heaping on Individual Level

samp	R Documentation

Sample Data for Heaping Correction Examples

Description

A stratified random sample of demographic and income data from a synthetic population generated using the simPop package based on EU-SILC data. This dataset can be used to demonstrate and test heaping correction methods.

Usage

samp

Format

A data frame with 25 variables:

db030: Household ID
hsize: Household size
age: Age in years
rb090: Gender
db040: Region (Bundesland)
pid: Person ID
weight: Original sampling weight
pl031: Economic status
pb220a: Citizenship status
pb190: Marital status
pe040: Education level
pl111: Employment status
pgrossIncomeCat: Personal gross income category
pgrossIncome: Personal gross income
py010g: Employee cash or near cash income
py021g: Company car income
py050g: Self-employment income
py080g: Private pension income
py090g: Unemployment benefits
py100g: Old-age benefits
py110g: Survivor benefits
py120g: Sickness benefits
py130g: Disability benefits
py140g: Education-related allowances
.weight: Sampling weight from stratified sampling

Source

Generated using simPop from EU-SILC 2013 public use file. The full synthetic population can be regenerated using the script inst/scripts/create_pop.R.

Examples

data(samp)
head(samp)

# Check age distribution
hist(samp$age, breaks = 50, main = "Age Distribution")

# Introduce artificial heaping and correct it
age_heaped <- round(samp$age / 5) * 5
age_corrected <- correctHeaps(age_heaped, heaps = "5year")

heaping documentation built on Feb. 10, 2026, 1:08 a.m.