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/plot-spc-extended.R
\name{merge_dts}
\alias{merge_dts}
\title{Merge list-columns of spectra, x-axis values, metadata and additional
measured variables into a single long form data.table}
\usage{
merge_dts(
spc_tbl,
lcols_spc = c("spc", "spc_pre"),
lcol_measure = NULL,
spc_id = "unique_id",
group_id = "sample_id"
)
}
\arguments{
\item{spc_tbl}{Tibble data frame containing spectra, x-axis values, metadata
and eventual measured variables as list-columns.}
\item{lcols_spc}{Character vector of spectral list-columns to be extracted.
Default is \code{c("spc", "spc_pre")} (raw and preprocessed spectra).}
\item{lcol_measure}{Character vector of length 1 denoting the column name
of the measure columns. This argument is optional. Default is \code{NULL},
which does not extract an additional measure column.}
\item{spc_id}{Character vector of column that contains a unique spectral
identifier for all spectra. Default is \code{"unique_id"}.}
\item{group_id}{Character vector of columns that is used assigning spectra
into groups. Default is \code{"sample_id"}. The \code{group_id} can be
used for later plotting and thereby visually separating spectral groups into
using different colors or panels.}
}
\value{
A single data.table containing long form aggregated data of
spectra, x-axis values, metadata and an additionally measured variable.
}
\description{
Helper function that merges all spectra and related data into
a single long form data.table than can subsequently be used for plotting.
}