TireWear: Estimating tire wear
In fastR2: Foundations and Applications of Statistics Using R (2nd Edition)
TireWear R Documentation
Estimating tire wear
Description
Tread wear is estimated by two methods: weight loss and groove wear.
Format
A data frame with 16 observations on the following 2 variables.
- weight
estimated wear (1000's of miles) base on
weight loss
- groove
estimated wear (1000's of miles) based on
groove wear
Source
These data are available at DASL, the Data and Story Library
(https://dasl.datadescription.com/).
References
R. D. Stichler, G. G. Richey, and J. Mandel, "Measurement of
Treadware of Commercial Tires", Rubber Age, 73:2 (May 1953).
Examples
data(TireWear)
gf_point(weight ~ groove, data = TireWear)
fastR2 documentation built on Nov. 9, 2023, 9:06 a.m.
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| TireWear | R Documentation |
Estimating tire wear
Description
Tread wear is estimated by two methods: weight loss and groove wear.
Format
A data frame with 16 observations on the following 2 variables.
- weight
estimated wear (1000's of miles) base on weight loss
- groove
estimated wear (1000's of miles) based on groove wear
Source
These data are available at DASL, the Data and Story Library (https://dasl.datadescription.com/).
References
R. D. Stichler, G. G. Richey, and J. Mandel, "Measurement of Treadware of Commercial Tires", Rubber Age, 73:2 (May 1953).
Examples
data(TireWear)
gf_point(weight ~ groove, data = TireWear)
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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