Class and Methods for Spectral Data


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Documentation for package ‘spectrolab’ version 0.0.19

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aggregate.spectra Aggregate spectra
apply_by_band Apply numeric function by band
apply_by_band.spectra Apply numeric function by band
as.data.frame.spectra Convert spectra to data.frame
as.matrix.spectra Convert spectra to matrix
as_spectra Convert matrix or data frame to spectra
as_spectra.data.frame Convert data.frame to spectra
as_spectra.matrix Convert matrix to spectra
bands Get spectra band labels
bands.spectra Get spectra band labels
bands<- Set band labels
combine Combine spectral datasets
combine.spectra Combine spectral datasets
default_spec_regions Return default spectral regions matrix
dim.spectra Get dimension of spectra
guess_splice_at Guess splice bands (bounds between senors)
guess_splice_at.spectra Guess splice bands (bounds between senors)
is_spectra Is it a spectra object?
make_fwhm Resample the FWHM to a new set of bands using a gaussian model
match_sensors Match spectra at sensor transitions
match_sensors.spectra Match spectra at sensor transitions
max.spectra Maximum value
mean.spectra Mean spectrum
median.spectra Median spectrum
meta Get metadata
meta.spectra Get metadata
meta<- Set metadata
min.spectra Minimum value
names.spectra Get spectra sample names
names<-.spectra Set spectra sample names
normalize Vector normalize spectra
normalize.spectra Vector normalize spectra
Ops.spectra Arithmetic operators for spectra
pairwise_indices Pairwise indices
plot.spectra Plot spectra
plot_interactive Plot spectra interactively
plot_quantile Plot spectra quantiles
plot_regions Plot polygons for spectral regions
print.spectra Print spectra
quantile.spectra Compute spectra quantiles
range.spectra Range of spectral values
read_spectra Read files from various formats into 'spectra'
resample Resample spectra
sd Standard deviation
sd.default Default standard deviation
sd.spectra Standard deviation spectrum
smooth Generic Smoothing function
smooth.default Default smoothing function
smooth.spectra Smooth spectra
smooth_fwhm Smooth spectra with a gaussian model
smooth_moving_avg Smooth moving average for spectra
smooth_spline Smooth spline functions for spectra
spectra Spectra object constructor
spec_matrix_example Example spectral dataset
split.spectra Split spectra
str.spectra Structure of the spectra object
subset_by Subset spectra by factor
subset_by.spectra Subset spectra by factor
summary.spectra Summarize spectra
t.spectra Spectra Transpose
try_keep_txt Wrap function to try to keep text
value Get spectra value
value.spectra Get spectra value
value<- Set spectra value
var Variance
var.default Variance
var.spectra Variance spectrum
[.spectra Subset spectra
[<-.spectra Assign values to spectra