robustbase: delivery – R documentation

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delivery

Delivery Time Data

Description

Delivery Time Data, from Montgomery and Peck (1982). The aim is to explain the time required to service a vending machine (Y) by means of the number of products stocked (X1) and the distance walked by the route driver (X2).

Usage

data(delivery, package="robustbase")

Format

A data frame with 25 observations on the following 3 variables.

n.prod: Number of Products
distance: Distance
delTime: Delivery time

Source

Montgomery and Peck (1982, p.116)

References

P. J. Rousseeuw and A. M. Leroy (1987) Robust Regression and Outlier Detection; Wiley, page 155, table 23.

Examples

data(delivery)
summary(lm.deli <- lm(delTime ~ ., data = delivery))

delivery.x <- as.matrix(delivery[, 1:2])
c_deli <- covMcd(delivery.x)
c_deli

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