fp_average_replicates: Average technical replicates from a fluorescence polarization...
In Guilz/rfret: Analyze FRET Binding Data

Description Usage Arguments Value See Also

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

1	fp_average_replicates(raw_data)

raw_data

A dataframe containing the fluorescence polarization or anisotropy data. It must contain at least 8 columns named:

Experiment: A unique name identifying each experiment.
Type: For example, "titration".
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.
polarization: Fluorescence polarization.
anisotropy: Fluorescence anisotropy.
intensity: Fluorescence intensity.

The output of format_data can be used directly as input for this function.

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.

format_data to prepare datasets for use with fp_average_replicates.

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