Orange {datasets} | R Documentation

## 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)))

[Package datasets version 3.3.2 Index]