EA.organize: Organizes raw EA data from NACHO

View source: R/EA.organize.R

EA.organizeR Documentation

Organizes raw EA data from NACHO

Description

This function is used to parse the raw EA data from solid samples analyzed on the Delta V irMS systems (NACHO) for further analysis. The function is part of the workflow for decomposing and standardizing EA data and not intended to be used directly. Data are split into the following categories: blanks, zeros, standards, samples

Usage

EA.organize(results)

Arguments

results

List containing results from previous functions.

Value

List with four tables: standard C & N data ($standard.CN), sample C & N data ($sample.CN), blank C & N data ($blank.CN). Blank table may have zero rows. Two boolean flags to indicate if there are detectable zeros and blanks. Also returns the analysis date at a character.

standard.CN

Dataframe of raw data IsoDat data for the standards and QTY standards.

sample.CN

Dataframe of raw data IsoDat data for the unknown samples form the sequence.

blank.CN

Dataframe of raw data IsoDat data for any measurable blanks in the sequence.

zero.CN

Dataframe of raw data IsoDat data for any measurable zeros in the sequence.

Author(s)

Gordon W. Holtgrieve


gholtgrieve/HEEL documentation built on Nov. 20, 2023, 10:59 a.m.