R Dataset / Package Stat2Data / AutoPollution
On this R-data statistics page, you will find information about the AutoPollution data set which pertains to AutoPollution. The AutoPollution data set is found in the Stat2Data R package. You can load the AutoPollution data set in R by issuing the following command at the console data("AutoPollution"). This will load the data into a variable called AutoPollution. If R says the AutoPollution data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with the library() command. 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 AutoPollution R data set. The size of this file is about 389 bytes.
AutoPollution
Description
AutoPollution
Format
A dataset with 36 observations on the following 4 variables.
Noise | Noise level (decibels) |
Size | Vehicle size: 1=small, 2=medium, or 3=large |
Type | 1=standard filer or 2=new filter |
Side | Side of vehicle: code1=right or 2=left |
Details
In a 1973 testimony before the Air and Water Pollution Subcommittee of the Senate Public Works Committee, John McKinley, President of Texaco discussed a new filter that had been developed to reduce pollution. Questions were raised about the effects of this filter on other measures of vehicle performance. The data set AutoPollution gives the results of an experiment on 36 different cars. The cars were randomly assigned to get either this new filter or a standard filter and the noise level for each car was measured.
Source
Data explanation and link can be found at http://lib.stat.cmu.edu/DASL/Stories/airpollutionfilters.html.
References
A.Y. Lewin and M.F. Shakun, Policy Sciences: Methodology and Cases, Pergammon Press, 1976, p 313.
Dataset imported from https://www.r-project.org.
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