nkden.cv {funfits} | R Documentation |
This function can be used to pick a data-based estimate of the bandwidth for a normal kernel density estimate. Values of h that make the CV function small are to be prefered. In some cases the CV function should be ignored beacuse it has a minimum at h=0. The CV function should always be plotted before the minimizing bandwidht is used in a density estimate.
nkden.cv(data, h)
data |
A vector or matrix of observations. It is assumed that the rows are independent |
h |
A vector of bandwidths to evaluate the Cross-validation function. The default is to search on a grid scaled tot he ragne of the data. |
A list with the bandwidth in h, the CV function in CV.f and the value of h at the smallest value of the CV function in h.CV.
nkden.cv( minitri$swim)-> look plot( look$CV.f , look$h, type="l", xlab="h", ylab=" LS CV function") nkden( minitri$swim, look$h.CV, n.points=150)-> out plot( out$x, out$y, type="l", xlab=" swim times", " ylab=" pdf")