blank_substraction: Subtraction of blank readings from sample readings

In GCalignR: Simple Peak Alignment for Gas-Chromatography Data

Subtraction of blank readings from sample readings

Description

For each substance that is present in blanks, samples are corrected by subtraction of the respective quantity. If more than one sample is submitted, abundances are averaged. This procedure is sensitive to differences in the total concentration of samples and should be applied to samples where the preparation yields comparable concentrations for each sample.

Usage

blank_substraction(input = NULL, blanks = NULL, conc_col_name = NULL)

Arguments

input	A GCalign Object
blanks	Character vector of names of negative controls.
conc_col_name	If the input is a GCalign object the variable containing the abundance values needs to be specified.

Details

Substances that are present in one or more blanks are identified in the aligned dataset, then the mean abundance is calculated for the blanks and the corresponding value is subtracted from each sample. If the control contains higher concentration (i.e. blank substation creates negative abundances) warnings will be shown and the respective value will be set to zero

Examples

## Not run
#out <- blank_substraction(aligned_peak_data, blanks = "M2", conc_col_name = "area")

GCalignR documentation built on July 4, 2024, 1:07 a.m.