cmc: Contraceptive Choice in Indonesia

In clustrd: Methods for Joint Dimension Reduction and Clustering

Contraceptive Choice in Indonesia

Description

Data of married women in Indonesia who were not pregnant (or did not know they were pregnant) at the time of the survey. The dataset contains demographic and socio-economic characteristics of the women along with their preferred method of contraception (no use, long-term methods, short-term methods).

Usage

data(cmc)

Format

A data frame containing 1,437 observations on the following 10 variables.

W_AGE

wife's age in years.

W_EDU

ordered factor indicating wife's education, with levels "low", "2", "3" and "high".

H_EDU

ordered factor indicating wife's education, with levels "low", "2", "3" and "high".

NCHILD

number of children.

W_REL

factor indicating wife's religion, with levels "non-Islam" and "Islam".

W_WORK

factor indicating if the wife is working.

H_OCC

factor indicating husband's occupation, with levels "1", "2", "3" and "4". The labels are not known.

SOL

ordered factor indicating the standard of living index with levels "low", "2", "3" and "high".

MEDEXP

factor indicating media exposure, with levels "good" and "not good".

CM

factor indicating the contraceptive method used, with levels "no-use", "long-term" and "short-term".

Source

This dataset is part of the 1987 National Indonesia Contraceptive Prevalence Survey and was created by Tjen-Sien Lim. It has been taken from the UCI Machine Learning Repository at http://archive.ics.uci.edu/ml/.

References

Lim, T.-S., Loh, W.-Y. & Shih, Y.-S. (1999). A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-three Old and New Classification Algorithms. Machine Learning, 40(3), 203-228.

Examples

data(cmc)

clustrd documentation built on July 17, 2022, 1:05 a.m.