Growth of Orange Trees

Description

The Orange data frame has 35 rows and 3 columns of records of the growth of orange trees.

Usage

Orange

Format

An object of class c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame") containing the following columns:

Tree

an ordered factor indicating the tree on which the measurement is made. The ordering is according to increasing maximum diameter.

age

a numeric vector giving the age of the tree (days since 1968/12/31)

circumference

a numeric vector of trunk circumferences (mm). This is probably “circumference at breast height”, a standard measurement in forestry.

Details

This dataset was originally part of package nlme, and that has methods (including for [, as.data.frame, plot and print) for its grouped-data classes.

Source

Draper, N. R. and Smith, H. (1998), Applied Regression Analysis (3rd ed), Wiley (exercise 24.N).

Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS, Springer.

Examples

require(stats); require(graphics)
coplot(circumference ~ age | Tree, data = Orange, show.given = FALSE)
fm1 <- nls(circumference ~ SSlogis(age, Asym, xmid, scal),
           data = Orange, subset = Tree == 3)
plot(circumference ~ age, data = Orange, subset = Tree == 3,
     xlab = "Tree age (days since 1968/12/31)",
     ylab = "Tree circumference (mm)", las = 1,
     main = "Orange tree data and fitted model (Tree 3 only)")
age <- seq(0, 1600, length.out = 101)
lines(age, predict(fm1, list(age = age)))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(datasets)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/datasets/Orange.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Orange
> ### Title: Growth of Orange Trees
> ### Aliases: Orange
> ### Keywords: datasets
> 
> ### ** Examples
> 
> require(stats); require(graphics)
> coplot(circumference ~ age | Tree, data = Orange, show.given = FALSE)
> fm1 <- nls(circumference ~ SSlogis(age, Asym, xmid, scal),
+            data = Orange, subset = Tree == 3)
> plot(circumference ~ age, data = Orange, subset = Tree == 3,
+      xlab = "Tree age (days since 1968/12/31)",
+      ylab = "Tree circumference (mm)", las = 1,
+      main = "Orange tree data and fitted model (Tree 3 only)")
> age <- seq(0, 1600, length.out = 101)
> lines(age, predict(fm1, list(age = age)))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>