| kernapply | R Documentation |
kernapply computes the convolution between an input sequence and a specific kernel.
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, ...)
x | an input vector, matrix, time series or kernel to be smoothed. |
k | smoothing |
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. |
A smoothed version of the input sequence.
This uses fft to perform the convolution, so is fastest when NROW(x) is a power of 2 or some other highly composite integer.
A. Trapletti
kernel, convolve, filter, spectrum
## see 'kernel' for examples
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.
