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ir_scale()
: Function to scale intensity values in
spectra, similar to base::scale()
. Intensity values are
scaled for the same x axis values.ir_as_ir.ir_flat()
: Conversion of ir_flat
objects to ir
objects.ir_as_ir.hyperSpec()
: Conversion of
hyperSpec::hyperSpec
objects to ir
objects.ir_as_ir.Spectra()
: Conversion of
ChemoSpec::Spectra
objects to ir
objects.ir_identify_empty_spectra()
: Identifies rows in an
ir
object with empty spectra (former internal function
ir_check_for_empty_spectra()
).ir_sample_prospectr()
: Wrapper function to use sampling
algorithms implemented in the ‘prospectr’ package directly with ‘ir’
objects.ir_correct_atmosphere()
has a new parameter
return_contribution
which allows to return the contribution
of ref
to each spectrum in x
.ir_normalize()
has three new methods to normalize
spectra:
method = "area_absolute"
, all intensity values
will be divided by the sum of the absolute intensity values at all
wavenumber values of the spectrum.method = "vector"
, all intensity values will be
divided by the norm of the intensity vector (vector normalization).method = "snv
“, a Standard Normal Variate
correction will be performed.ir_bc_rubberband()
has an additional parameter to allow
imputation of the first and last value in a spectra to avoid artifacts
which may happen during baseline correction with the rubberband
algorithm.Imports
have been moved to
Suggests
.ir_import_spc()
, the returned ir
object
was not a tbl_df
, but a data frame. This is now
corrected.unnest.ir()
, the ir
class was not
restored and therefore the result was always unclassed.ir_average()
, the returned ir
object
was still a grouped_df
. This is now corrected (by adding
the .groups
argument for dplyr::summarize()
which is internally used by ir_average()
).ir_export_prepare()
to support exporting
ir
objects to csv
.ir_correct_atmosphere()
enables correcting for
atmospheric artifacts (e.g. H\(_2\)O
and CO\(_2\) peaks) following
Perez-Guaita et al. (2013) (DOI: 10.1366/13-07159).ir_flatten()
faster by improving spectra
combining.ir_bin()
faster by improving spectra summarizing
per bin. Allowing to specify how wavenumber values should be defined
after binning.ir_subtract()
, ir_add()
,
ir_multiply()
, ir_divide()
).ir_import_spc()
by allowing to
not export spectra metadata. This bug is caused by
hyperSpec::read.spc()
and will be fixed in the upcoming
weeks. See https://github.com/r-hyperspec/hyperSpec/issues/80NEWS.md
file to track changes to the
package.ir
objects.ir
objects no longer require columns
measurement_id
and sample_id
, but only the
column spectra
.ir
objects.ir
objects.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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