On this R-data statistics page, you will find information about the heart data set which pertains to Heart Catherization Data. The heart data set is found in the robustbase R package. You can load the heart data set in R by issuing the following command at the console data("heart"). This will load the data into a variable called heart. If R says the heart data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the heart R data set. The size of this file is about 8,859 bytes.
Heart Catherization Data
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.
A data frame with 12 observations on the following 3 variables.
Patient's height in inches
Patient's weights in pounds
Y: Catheter Length (in centimeters)
There are other
heart datasets in other R packages, notably survival, hence considering using
package = "robustbase", see examples.
Chambers et al. (1983)
P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, p.103, table 13.
heart.x <- data.matrix(heart[, 1:2]) # the X-variables
summary( lm.heart <- lm(clength ~ . , data = heart))
summary(lts.heart <- ltsReg(clength ~ . , data = heart))
Dataset imported from https://www.r-project.org.