ir_smooth | R Documentation |
ir
objectir_smooth
applies smoothing functions to infrared spectra.
ir_smooth
either performs Savitzky-Golay smoothing, using on
signal::sgolayfilt()
, or Fourier smoothing using
fda::smooth.basis()
. Savitzky-Golay smoothing can
also be used to compute derivatives of spectra.
ir_smooth(
x,
method = "sg",
p = 3,
n = p + 3 - p%%2,
ts = 1,
m = 0,
k = 111,
...
)
x |
An object of class |
method |
A character value specifying which smoothing method to apply.
If |
p |
An integer value representing the filter order (i.e. the degree of
the polynom) of the Savitzky-Golay filter if |
n |
An odd integer value representing the length (i.e. the number of
wavenumber values used to construct the polynom) of the Savitzky-Golay filter
if |
ts |
time scaling factor. See |
m |
An integer value representing the mth derivative to compute. This
option can be used to compute derivatives of spectra. See
|
k |
A positive odd integer representing the number of Fourier basis
functions to use as smoothed representation of the spectra if
|
... |
additional arguments (ignored). |
When x
contains spectra with different wavenumber values, the
filters are applied for each spectra only on existing wavenumber values. This
means that the filter window (if method == "sg"
) will be different for
these different spectra.
x
with smoothed spectra.
#' # Savitzky-Golay smoothing
if(! requireNamespace("signal", quietly = TRUE)) {
x1 <-
ir::ir_sample_data[1:5, ] |>
ir::ir_smooth(method = "sg", p = 3, n = 51, ts = 1, m = 0)
}
# Fourier smoothing
if(! requireNamespace("fda", quietly = TRUE)) {
x2 <-
ir::ir_sample_data[1:5, ] |>
ir::ir_smooth(method = "fourier", k = 21)
}
# computing derivative spectra with Savitzky-Golay smoothing (here: first
# derivative)
if(! requireNamespace("signal", quietly = TRUE)) {
x3 <-
ir::ir_sample_data[1:5, ] |>
ir::ir_smooth(method = "sg", p = 3, n = 51, ts = 1, m = 1)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.