mine: Fracture Counts in Coal Mines
In locfit: Local Regression, Likelihood and Density Estimation
mine R Documentation
Fracture Counts in Coal Mines
Description
The number of fractures in the upper seam of coal mines, and four
predictor variables. This dataset can be modeled using Poisson regression.
Usage
data(mine)
Format
A dataframe with the response frac, and predictor variables
extrp, time, seamh and inb.
Source
Myers (1990).
References
Myers, R. H. (1990). Classical and Modern Regression with Applications
(Second edition). PWS-Kent Publishing, Boston.
locfit documentation built on April 4, 2025, 6:09 a.m.
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.
| mine | R Documentation |
Fracture Counts in Coal Mines
Description
The number of fractures in the upper seam of coal mines, and four predictor variables. This dataset can be modeled using Poisson regression.
Usage
data(mine)Format
A dataframe with the response frac, and predictor variables extrp, time, seamh and inb.
Source
Myers (1990).
References
Myers, R. H. (1990). Classical and Modern Regression with Applications (Second edition). PWS-Kent Publishing, Boston.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.