R: Apply Smoothing Kernel

kernapply {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.

### Note

This uses `fft` to perform the convolution, so is fastest when `NROW(x)` is a power of 2 or some other highly composite integer.

### Author(s)

A. Trapletti

### See Also

`kernel`, `convolve`, `filter`, `spectrum`

### Examples

    ## see 'kernel' for examples

[Package stats version 3.1.2 Index]