Apply a Savitzky-Golay smoothing filter
Description
Smooth data or compute its derivatives with a Savitzky-Golay smoothing filter.
Usage
sgolayfilt(
x,
p = 3,
n = p + 3 - p%%2,
m = 0,
ts = 1,
rowwise = FALSE,
engine = c("auto", "fft", "filter")
)
sgolayfilt(
x,
p = 3,
n = p + 3 - p%%2,
m = 0,
ts = 1,
rowwise = FALSE,
engine = c("auto", "fft", "filter")
)
Arguments
x |
A numeric matrix or vector
|
p |
filter order.
|
n |
filter length (must be odd).
|
m |
return the m-th derivative of the filter coefficients.
|
ts |
time scaling factor.
|
rowwise |
If TRUE, Apply the filter by rows instead of by columns
|
engine |
How is the filter applied. This parameter impacts the performance, but not the results.
"auto" will select automatically an efficient engine. "fft" uses a Fast
Fourier Transform to apply the filter. "filter" uses a convolution in the
direct space. "fft" is more efficient on larger filter lengths.
|
Value
A matrix or vector of the same dimensions or length as x, with the result of the filter
Examples
x <- runif(300)
y <- sgolayfilt(x, p=2, n = 21)
x <- runif(300)
y <- sgolayfilt(x, p=2, n = 21)
, Robert Gentleman
[ctb, cph] (Contributor to src/stats_filter.c and src/fft.c
(derived from the stats R package)), Ross Ihaka [ctb, cph]
(Contributor to src/stats_filter.c and src/fft.c (derived from
the stats R package)), Brian Ripley [ctb, cph] (Contributor to
src/stats_filter.c and src/fft.c (derived from the stats R
package)), Martin Maechler [ctb, cph] (Contributor to
src/stats_filter.c and src/fft.c (derived from the stats R
package)), Duncan Murdoch [ctb, cph] (Contributor to
src/stats_filter.c and src/fft.c (derived from the stats R
package)), Institute for Bioengineering of Catalonia [cph]