Normal kernel regression estimate
Usage
nkreg(data.x, data.y, bandwidth, n.points, grid)
Arguments
data.x
|
Vector or matrix of independent variables.
|
data.y
|
Vector of the dependent variable
|
bandwidth
|
Vector of bandwidths
|
n.points
|
Number of equally spaced points to evaluate a univariate density
estimate.
|
grid
|
A vector or matrix of values to evaluate the estimate.The defautl is
to use the data.
|
Value
A list where x is the points used for evaluation, y the density
estimates at these points and bandwidths and h the vector of
bandwidths. If more than one bandwidth is given then the estimates are
arranged as columns in the matrix y.See Also
nkden, nkden.cv, ksmoothExamples
nkreg( auto.paint$thick, auto.paint$DOI, 5.0)-> look
plot( auto.paint$thick, auto.paint$DOI)
lines( look$x, look$y)
plot( look$y, auto.paint$DOI- look$y, xlab="Predicted", ylab="Residuals")