kernapply               package:stats               R Documentation

Apply Smoothing Kernel

Description:

     'kernapply' computes the convolution between an input sequence 
     and a specific kernel.

Usage:

     kernapply(x, ...)

     ## Default S3 method:
     kernapply(x, k, circular = FALSE, ...)
     ## S3 method for class 'ts':
     kernapply(x, k, circular = FALSE, ...)
     ## S3 method for class 'vector':
     kernapply(x, k, circular = FALSE, ...)

     ## S3 method for class 'tskernel':
     kernapply(x, k, ...)

Arguments:

       x: an input vector, matrix, time series or kernel to be
          smoothed.

       k: smoothing '"tskernel"' object.

circular: a logical indicating whether the input sequence to be
          smoothed is treated as circular, i.e., periodic.

     ...: arguments passed to or from other methods.

Value:

     A smoothed version of the input sequence.

Author(s):

     A. Trapletti

See Also:

     'kernel', 'convolve', 'filter', 'spectrum'

Examples:

     ## see 'kernel' for examples

