artificial: Hawkins, Bradu, Kass's Artificial Data
In wle: Weighted Likelihood Estimation
Description
Usage
Format
Source
See Also
Description
This data set was generated by Hawkins, Bradu and Kass in the 1984 for illustrating some of the merits of a robust technique. The data set consists of 75 observations in four dimensions (one response and three explanatory variables). The first 10 observations are bad leverage points, and the next four points are good leverage points (i.e., their x are outlying, but the corresponding y fit the model quite well).
Usage
1
Format
artificial is a data frame with 75 cases (rows) and 4 variables
(columns) where the last column is the dependent variable,
y.artificial and x.artificial (as a matrix) are also available.
Source
Hawkins, D.M., Bradu, D., and Kass, G.V. (1984)
Location of several outliers in multiple regression data using elemental sets.
Technometrics,
26, 197–208.
See Also
Rousseeuw, P.J., and Leroy, A.M. (1987)
Robust regression and outliers detection,
Wiley.
wle documentation built on May 29, 2017, 11:48 a.m.
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Description Usage Format Source See Also
Description
This data set was generated by Hawkins, Bradu and Kass in the 1984 for illustrating some of the merits of a robust technique. The data set consists of 75 observations in four dimensions (one response and three explanatory variables). The first 10 observations are bad leverage points, and the next four points are good leverage points (i.e., their x are outlying, but the corresponding y fit the model quite well).
Usage
1 |
Format
artificial is a data frame with 75 cases (rows) and 4 variables
(columns) where the last column is the dependent variable,
y.artificial and x.artificial (as a matrix) are also available.
Source
Hawkins, D.M., Bradu, D., and Kass, G.V. (1984) Location of several outliers in multiple regression data using elemental sets. Technometrics, 26, 197–208.
See Also
Rousseeuw, P.J., and Leroy, A.M. (1987) Robust regression and outliers detection, Wiley.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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