MissingHealthData: Health Data with Missing Values

In catdap: Categorical Data Analysis Program Package

Health Data with Missing Values

Description

Medical data containing both categorical variables and continuous variables, the latter include two variables with missing values.

Usage

data(MissingHealthData)

Format

A data frame with 52 observations on the following 8 variables.

A part of the source data was recoded according to an input example of original program CATDAP-02. In addition, we converted 1 into 'A' and 2 into 'B' of symptoms data, and converted cholesterol data less than 198 into 'low' and the others into 'high'.

[, 1]	opthalmo.	1, 2
[, 2]	ecg		1, 2
[, 3]	symptoms		A, B
[, 4]	age		49-59
[, 5]	max.press		98-216, 300 (missing value)
[, 6]	min.press		56-120, 300 (missing value)
[, 7]	aortic.wav		6.3-10.2
[, 8]	cholesterol		low, high

Source

Y.Sakamoto, M.Ishiguro and G.Kitagawa (1980) Computer Science Monograph, No.14, CATDAP, A CATEGORICAL DATA ANALYSIS PROGRAM PACKAGE, DATA No.2. The Institute of Statistical Mathematics.

Y.Sakamoto (1985) Categorical Data Analysis by AIC, p. 74. Kluwer Academic publishers.

catdap documentation built on May 31, 2023, 6:14 p.m.