R Dataset / Package texmex / summer

Documentation

On this Picostat.com statistics page, you will find information about the summer data set which pertains to Air pollution data, separately for summer and winter months. The summer data set is found in the texmex R package. You can load the summer data set in R by issuing the following command at the console data("summer"). This will load the data into a variable called summer. If R says the summer data set is not found, you can try installing the package by issuing this command install.packages("texmex") 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 summer R data set. The size of this file is about 8,465 bytes.


Air pollution data, separately for summer and winter months

Description

Air pollution data from Leeds (U.K.) city centre, collected from 1994 to 1998. The summer data set corresponds to the months of April to July inclusive. The winter data set corresponds to the months of November to February inclusive. Some outliers have been removed, as discussed by Heffernan and Tawn, 2004.

Format

Data frames with 578 (summer) and 532 (winter) observations on the following 5 variables.

O3

Daily maximum ozone in parts per billion.

NO2

Daily maximum NO2 in parts per billion.

NO

Daily maximum NO in parts per billion.

SO2

Daily maximum SO2 in parts per billion.

PM10

Daily maximum PM10 in micrograms/metre^3

Source

Provided as online supplementary material to Heffernan and Tawn, 2004:

http://www.blackwellpublishing.com/rss/Readmefiles/heffernan.htm

References

J. E. Heffernan and J. A. Tawn, A conditional approach for multivariate extreme values, Journal of the Royal Statistical society B, 66, 497 – 546, 2004

Examples

data(summer)
data(winter)
--

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

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Attachment Size
dataset-64534.csv 8.27 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0