robustbase: heart – R documentation

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heart

Heart Catherization Data

Description

This data set was analyzed by Weisberg (1980) and Chambers et al. (1983). A catheter is passed into a major vein or artery at the femoral region and moved into the heart. The proper length of the introduced catheter has to be guessed by the physician. The aim of the data set is to describe the relation between the catheter length and the patient's height (X1) and weight (X2).

This data sets is used to demonstrate the effects caused by collinearity. The correlation between height and weight is so high that either variable almost completely determines the other.

Usage

data(heart)

Format

A data frame with 12 observations on the following 3 variables.

height: Patient's height in inches
weight: Patient's weights in pounds
clength: Y: Catheter Length (in centimeters)

Note

There are other heart datasets in other R packages, notably survival, hence considering using package = "robustbase", see examples.

Source

Weisberg (1980)

Chambers et al. (1983)

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, p.103, table 13.

Examples

data(heart, package="robustbase")
heart.x <- data.matrix(heart[, 1:2]) # the X-variables
plot(heart.x)
covMcd(heart.x)
summary( lm.heart <-     lm(clength ~ . , data = heart))
summary(lts.heart <- ltsReg(clength ~ . , data = heart))

robustbase

Basic Robust Statistics

v0.93-7

GPL (>= 2)

Authors

Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [ctb] (Qn and Sn), Christophe Croux [ctb] (Qn and Sn), Valentin Todorov [aut] (most robust Cov), Andreas Ruckstuhl [aut] (nlrob, anova, glmrob), Matias Salibian-Barrera [aut] (lmrob orig.), Tobias Verbeke [ctb, fnd] (mc, adjbox), Manuel Koller [aut] (mc, lmrob, psi-func.), Eduardo L. T. Conceicao [aut] (MM-, tau-, CM-, and MTL- nlrob), Maria Anna di Palma [ctb] (initial version of Comedian)

Initial release

2021-01-04