pub fn orange() -> Result<DataFrame, PolarsError>Expand description
§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)))