nkden {funfits} | R Documentation |
nkden(data, bandwidth, n.points, grid)
data |
A vector or matrix of oberservations. Rows are considerd to be independent random samples from a continous distribution. |
bandwidth |
The bandwidht for the kernels estimates in the scale of standard deviation for the normal density. |
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. |
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.
nkreg, nkden.cv, ksmooth
# univariate estimate with several bandwidths nkden( minitri$swim, c(2.0,4.0,6.0),n.points=150)-> look matplot( look$x, look$y, type="l") # plot all of them togther # a bivariate estimate nkden( minitri[,1:2], 2.0) -> look2 # create gridded surface from values at data points. interp( look2$x[,1], look2$x[,2], look2$y) -> surface persp(surface, xlab="swim", ylab="bike")