fret_average_replicates: Average technical replicates from a FRET experiment

In Guilz/rfret: Analyze FRET Binding Data

Description

This function calculates averages of fluorescence values from an arbitrary number of technical replicates.

Usage

fret_average_replicates(raw_data)

Arguments

raw_data

A dataframe containing the raw fluorescence data. It must contain at least 8 columns named: Experiment A unique name identifying each experiment. Type Either "blank" (no donor) or "titration" (donor present). Replicate A number identifying the technical replicate (1, 2, etc.). Observation A number identifying each observation in a titration series (corresponds to the plate column numbers, if experiments are set up as rows in a 384-well plate). The number of observations for an experiment and its blanks must match, and a given observation number must associate data points at the same concentration in the titration series. concentration The ligand concentration in the titration series. fret_channel Fluorescence intensity in the FRET channel. acceptor_channel Fluorescence intensity in the acceptor channel. donor_channel Fluorescence intensity in the donor channel. The output of format_data can be used directly as input for this function.

Value

A dataframe containing the reduced dataset after averaging across replicates. It contains all of the above columns except Replicate, because it returns the average values over replicates.

See Also

format_data to prepare datasets for use with fret_average_replicates.

Guilz/rfret documentation built on Oct. 18, 2021, 2:14 p.m.