R Dataset / Package datasets / trees

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How To Compute the Mean

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How to Compute the Median

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<iframe src="https://embed.picostat.com/r-dataset-package-datasets-trees.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-14921.csv 406 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the trees data set which pertains to Girth, Height and Volume for Black Cherry Trees. The trees data set is found in the datasets R package. You can load the trees data set in R by issuing the following command at the console data("trees"). This will load the data into a variable called trees. If R says the trees data set is not found, you can try installing the package by issuing this command install.packages("datasets") 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 trees R data set. The size of this file is about 406 bytes.

Documentation

Girth, Height and Volume for Black Cherry Trees

Description

This data set provides measurements of the girth, height and volume of timber in 31 felled black cherry trees. Note that girth is the diameter of the tree (in inches) measured at 4 ft 6 in above the ground.

Usage

trees

Format

A data frame with 31 observations on 3 variables.

[,1] Girth numeric Tree diameter in inches
[,2] Height numeric Height in ft
[,3] Volume numeric Volume of timber in cubic ft

Source

Ryan, T. A., Joiner, B. L. and Ryan, B. F. (1976) The Minitab Student Handbook. Duxbury Press.

References

Atkinson, A. C. (1985) Plots, Transformations and Regression. Oxford University Press.

Examples

require(stats); require(graphics)
pairs(trees, panel = panel.smooth, main = "trees data")
plot(Volume ~ Girth, data = trees, log = "xy")
coplot(log(Volume) ~ log(Girth) | Height, data = trees,
       panel = panel.smooth)
summary(fm1 <- lm(log(Volume) ~ log(Girth), data = trees))
summary(fm2 <- update(fm1, ~ . + log(Height), data = trees))
step(fm2)
## i.e., Volume ~= c * Height * Girth^2  seems reasonable
--

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

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