interp: Fast linear interpolation of a regular grid

In rubenfcasal/npsp: Nonparametric Spatial Statistics

Fast linear interpolation of a regular grid

Description

Computes a linear interpolation of multidimensional regularly gridded data.

Usage

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, ...)

Arguments

object	(gridded data) object used to select a method.
...	further arguments passed to or from other methods.
data	vector or array of data values.
newx	vector or matrix with the (irregular) locations to interpolate. Columns correspond with dimensions and rows with data.
data.ind	integer (or character) with the index (or name) of the data component.
hat.data	logical; if TRUE (and possible), the hat matrix corresponding to the (original) data is returned.

Details

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).

Value

A list with two components:

x	interpolation locations.
y	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).

Note

Linear extrapolation is performed from the end nodes of the grid.

WARNING: May fail with missing values (especially if object$locpol$ncv > 0).

See Also

interp.surface.

rubenfcasal/npsp documentation built on Nov. 13, 2024, 4:48 p.m.