baseline_corr: Baseline drift correction via spline interpolation

In trollock/respiratoR: R Functions for the Analysis of Respirometry Data

Usage

baseline_corr(dat, col1, col2, col3, conc1)

Arguments

dat	dataframe containing respirometry data
col1	column containing information on multiplexer chambers
col2	column containing oxygen data
col3	column containing sample number data
conc1	a number specifying the known concetration or value for a channel. e.g. atmospheric O2 concentration is typically ~20.95

a dataframe containing drift correct oxygen and carbon dioxide data corrected using a spline fit When provided user defined baseline data, this function corrects for sensor drift i a specified channel using three types of interpolation; linear, fmm spline, and natural spline. It is intended for the user to compare multiple fits and determine which makes the most sense for drift correction. This is a generic function: baseline_spl(test_resp, "Marker", "Oxygen","Sample")

trollock/respiratoR documentation built on Nov. 27, 2019, 2:35 p.m.