Computes a linear interpolation of multidimensional regularly gridded data.
interp(object, ...)# S3 method for grid.par
interp(object, data, newx, ...)
# S3 method for data.grid
interp(object, data.ind = 1, newx, ...)
# S3 method for locpol.bin
predict(object, newx = NULL, hat.data = FALSE, ...)
# S3 method for np.den
predict(object, newx = NULL, ...)
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).
(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.
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).
interp.surface.