# R Dataset / Package boot / coal

Documentation

On this Picostat.com statistics page, you will find information about the coal data set which pertains to Dates of Coal Mining Disasters . The coal data set is found in the boot R package. You can load the coal data set in R by issuing the following command at the console data("coal"). This will load the data into a variable called coal. If R says the coal data set is not found, you can try installing the package by issuing this command install.packages("boot") 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 coal R data set. The size of this file is about 3,228 bytes.

## Dates of Coal Mining Disasters

### Description

The coal data frame has 191 rows and 1 columns.

This data frame gives the dates of 191 explosions in coal mines which resulted in 10 or more fatalities. The time span of the data is from March 15, 1851 until March 22 1962.

### Usage

coal


### Format

This data frame contains the following column:

date

The date of the disaster. The integer part of date gives the year. The day is represented as the fraction of the year that had elapsed on that day.

### Source

The data were obtained from

Hand, D.J., Daly, F., Lunn, A.D., McConway, K.J. and Ostrowski, E. (1994) A Handbook of Small Data Sets, Chapman and Hall.

### References

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

Jarrett, R.G. (1979) A note on the intervals between coal-mining disasters. Biometrika, 66, 191-193.

--

Dataset imported from https://www.r-project.org.

Title Authored on Content type
R Dataset / Package psych / bfi March 9, 2018 - 1:06 PM Dataset
OpenIntro Statistics Dataset - scotus_healthcare August 9, 2020 - 2:38 PM Dataset
R Dataset / Package psych / withinBetween March 9, 2018 - 1:06 PM Dataset
R Dataset / Package Stat2Data / Kids198 March 9, 2018 - 1:06 PM Dataset
R Dataset / Package Ecdat / Wages1 March 9, 2018 - 1:06 PM Dataset
Attachment Size
3.15 KB