MissingHealthData {catdap}

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.