rbox {locfit} | R Documentation |
rbox()
is used to specify a rectangular box evaluation
structure for locfit.raw()
. The structure begins
by generating a bounding box for the data, then recursively divides
the box to a desired precision.
rbox(cut=0.8, type="tree", ll, ur)
type |
If type="tree" , the cells are recursively divided according to
the bandwidths at each corner of the cell; see Chapter 11 of Loader (1999).
If type="kdtree" , the K-D tree structure used in Loess
(Cleveland and Grosse, 1991) is used.
|
cut |
Precision of the tree; a smaller value of cut results in a
larger tree with more nodes being generated.
|
ll |
Lower left corner of the initial cell. Length should be the number
of dimensions of the data provided to locfit.raw() .
|
ur |
Upper right corner of the initial cell. By default, ll and
ur are generated as the bounding box for the data.
|
Loader, C. (1999). Local Regression and Likelihood. Springer, New York.
Cleveland, W. and Grosse, E. (1991). Computational Methods for Local Regression. Statistics and Computing 1.
data(ethanol, package="locfit") plot.eval(locfit(NOx~E+C,data=ethanol,scale=0,ev=rbox(cut=0.8))) plot.eval(locfit(NOx~E+C,data=ethanol,scale=0,ev=rbox(cut=0.3)))