Computes a linear interpolation of multidimensional regularly gridded data.
interp(object, ...)
# S3 method for class 'grid.par'
interp(object, data, newx, ...)
# S3 method for class 'data.grid'
interp(object, data.ind = 1, newx, ...)
# S3 method for class 'locpol.bin'
predict(object, newx = NULL, hat.data = FALSE, ...)
# S3 method for class 'np.den'
predict(object, newx = NULL, ...)(gridded data) object used to select a method.
further arguments passed to or from other methods.
vector or array of data values.
vector or matrix with the (irregular) locations to interpolate. Columns correspond with dimensions and rows with data.
integer (or character) with the index (or name) of the data component.
logical; if TRUE (and possible), the hat matrix corresponding
to the (original) data is returned.
A list with two components:
interpolation locations.
interpolated values.
If newx == NULL, predict.locpol.bin returns the estimates
(and optionally the hat matrix) corresponding to the data
(otherwise interp.data.grid is called).
interp methods are interfaces to the fortran routine interp_data_grid
(in grid_module.f90).
predict.locpol.bin is an interface to the fortran routine
predict_lp (in lp_module.f90).
Linear extrapolation is performed from the end nodes of the grid.
WARNING: May fail with missing values (especially if object$locpol$ncv > 0).