Streamlining spectral data processing and modeling for spectroscopy applications
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/select-ref-spectra.R
\name{select_ref_spc}
\alias{select_ref_spc}
\title{Select a set of reference spectra to be measured by reference analysis
methods}
\usage{
select_ref_spc(spc_tbl, ratio_ref, pc, print = TRUE)
}
\arguments{
\item{spc_tbl}{Spectra as tibble objects that contain preprocessed spectra}
\item{ratio_ref}{Ratio of desired reference samples to total sample number}
\item{pc}{Number of principal components (numeric). If pc < 1, the number
of principal components kept corresponds to the number of components
explaining at least (pc * 100) percent of the total variance.}
\item{print}{logical expression whether a plot (ggplot2) of sample selection
for reference analysis is shown in PCA space
(\code{TRUE} or \code{FALSE}).}
}
\description{
Select a set of calibration spectra to develop spectral models.
Samples in this list will be analyzed using laboratory reference methods.
}