WOOL: Wool Production
In alanarnholt/PASWR2: Probability and Statistics with R, Second Edition
WOOL R Documentation
Wool Production
Description
Random sample of wool production in thousands of kilograms on 5 different days at two different locations
Usage
WOOL
Format
A data frame with 30 observations on the following 2 variables:
-
production (wool production in thousands of kilograms)
-
location (a factor with levels textileA and textileB.)
References
Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.
Examples
ggplot(data = WOOL, aes(location, production, fill = location)) + geom_boxplot() +
guides(fill = "none") + scale_fill_brewer()
t.test(production ~ location, data = WOOL)
alanarnholt/PASWR2 documentation built on June 2, 2022, 5:20 a.m.
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| WOOL | R Documentation |
Wool Production
Description
Random sample of wool production in thousands of kilograms on 5 different days at two different locations
Usage
WOOL
Format
A data frame with 30 observations on the following 2 variables:
-
production(wool production in thousands of kilograms) -
location(a factor with levelstextileAandtextileB.)
References
Ugarte, M. D., Militino, A. F., and Arnholt, A. T. 2015. Probability and Statistics with R, Second Edition. Chapman & Hall / CRC.
Examples
ggplot(data = WOOL, aes(location, production, fill = location)) + geom_boxplot() + guides(fill = "none") + scale_fill_brewer() t.test(production ~ location, data = WOOL)
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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