| sdrPredict {spatstat.explore} | R Documentation |
Compute Predictors from Sufficient Dimension Reduction
Description
Given the result of a Sufficient Dimension Reduction method, compute the new predictors.
Usage
sdrPredict(covariates, B)
Arguments
covariates |
A list of pixel images (objects of class |
B |
Either a matrix of coefficients for the covariates, or the result of
a call to |
Details
This function assumes that sdr has already been used to
find a minimal set of predictors based on the covariates.
The argument B should be either the result of sdr
or the coefficient matrix returned as one of the
results of sdr. The columns of this matrix define linear
combinations of the covariates. This function evaluates those
linear combinations, and returns a list of pixel images containing the
new predictors.
Value
A list of pixel images (objects of class "im")
with one entry for each column of B.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
See Also
Examples
A <- sdr(bei, bei.extra)
Y <- sdrPredict(bei.extra, A)
Y