Data for cleaning {epicalc}R Documentation

Dataset for practicing cleaning, labelling and recoding

Description

The data come from clients of a family planning clinic.

For all variables except id: 9, 99, 99.9, 888, 999 are missing values

Usage

data(Planning)

Format

A data frame with 251 observations on the following 11 variables.

ID
a numeric vector: ID code
AGE
a numeric vector
RELIG
a numeric vector: Religion
1 = Buddhist
2 = Muslim
PED
a numeric vector: Patient's education level
1 = none
2 = primary school
3 = secondary school
4 = high school
5 = vocational school
6 = university
7 = other
INCOME
a numeric vector: Monthly income in Thai Baht
1 = nil
2 = < 1,000
3 = 1,000-4,999
4 = 5,000-9,999
5 = 10,000
AM
a numeric vector: Age at marriage
REASON
a numeric vector: Reason for family planning
1 = birth spacing
2 = enough children
3 = other
BPS
a numeric vector: systolic blood pressure
BPD
a numeric vector: diastolic blood pressure
WT
a numeric vector: weight (Kg)
HT
a numeric vector: height (cm)

Examples

data(Planning)
des(Planning)
# Change var. name to lowercase
names(Planning) <- tolower(names(Planning)) 
use(Planning)
des()
# Check for duplication of 'id'
table(id)
names(table(id))[table(id) > 1]

[Package epicalc version 2.6.0.5 Index]