Growth of Orange Trees
Orange data frame has 35 rows and 3 columns of records of
the growth of orange trees.
An object of class
c("nfnGroupedData", "nfGroupedData", "groupedData", "data.frame")
containing the following columns:
an ordered factor indicating the tree on which the measurement is
made. The ordering is according to increasing maximum diameter.
a numeric vector giving the age of the tree (days since 1968/12/31)
a numeric vector of trunk circumferences (mm). This is probably
“circumference at breast height”, a standard measurement in
This dataset was originally part of package
nlme, and that has
methods (including for
print) for its grouped-data classes.
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.
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)))