pumswgt: Household Distribution of Tenure and Household Size From PUMS

Description Usage Format Details Source References See Also Examples

Description

This data gives the joint and marginal distributions of Tenure (2 levels) and Household Size (5 levels) in Florida from US Census data.

Usage

1

Format

A list with 4 components:

ori

A data frame with 10 observations on the following 2 variables.

tenure

Factor Tenure with two levels: 1=Owner, 2=Renter

hhsize

Factor Household Size with five levels: 1=1 Person, 2=2 Person,3=3 Person,4=4 Person,5=5+ Person

mar

A vector of marginal counts with the following 7 values.

ten1

Counts of owned households (Tenure)

ten2

Counts of rented households (Tenure)

np1

Counts of 1 person households (Household Size)

np2

Counts of 2 person households (Household Size)

np3

Counts of 3 person households (Household Size)

np4

Counts of 4 person households (Household Size)

np5

Counts of 5 person households (Household Size)

raw

Raw counts of households in each factor level combination.

wgt

Original weights of households in each factor level combination

Details

The ori, raw, and wgt components are from US Census ACS (American Community Survey) PUMS (Public Use Micro Sample) 2004 data set containing two demographic factors: Tenure (ten) and Household Size (np), along with a weight variable wgtp, for the state Florida. They are further collapsed using the R function aggregate so that each factor combination in ori is unique.

The mar component gives the marginal distribution of Tenure (2 levels) and Household Size (5 levels) from US Census SF1 (Summary File 1) 2000 data containing table H4 (Tenure) and H13 (Household Size) for the state Florida.

Source

The data is downloaded from two data sources in Census website http://dataferrett.census.gov:

References

Feiming Chen (2006) A Heuristic Method for Weighting Survey Respondents. JSM 2006 Proceedings.

See Also

reweight

Examples

1

reweight documentation built on May 1, 2019, 8:48 p.m.

Related to pumswgt in reweight...