R Dataset / Package datasets / trees
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dataset-14921.csv | 406 bytes |
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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. Try to load the trees data set in R by issuing the following command at the console data("trees"). This may 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 with library("datasets") followed by data("trees"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing trees at the command-line which should display the entire dataset. 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. Girth, Height and Volume for Black Cherry TreesDescriptionThis 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. Usagetrees FormatA data frame with 31 observations on 3 variables.
SourceRyan, T. A., Joiner, B. L. and Ryan, B. F. (1976) The Minitab Student Handbook. Duxbury Press. ReferencesAtkinson, A. C. (1985) Plots, Transformations and Regression. Oxford University Press. Examplesrequire(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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R Output | Date |
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Picostat Output - Dotplot | May 19, 2023 |
Picostat Output - Boxplot | May 19, 2023 |
Picostat Output - Boxplot | May 19, 2023 |
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