3D plots of PARAFAC components
Plot correlations of components in samples
Plot amount of each component in each sample as bar plot
Wrapper function to eem_raman_normalisation (eemR).
Cut EEM data matching a given wavelength range
Full join of a list of data frames.
Extract EEM matrix for single components determined in the PARAFAC analysis
Plot components from a PARAFAC model
Plot leverage of emission wavelengths, excitation wavelengths and samples.
Plot leverage of emission wavelengths, excitation wavelengths and samples.
Write out PARAFAC components to submit to openfluor.org.
Compensate for normalisation in C-modes
Plot results from a splithalf analysis
Fluorescence data of 52 corrected samples.
Calculating correlations between the component loadings in all samples (C-Modes).
Normalise 3-dimensional array in first and second dimension
Plot all components of PARAFAC models
Reorders components of different PARAFAC models according to best fit (TCC)
Calculate residuals of EEM data according to a certain model
Plot fluorescence data from several samples split into several plots.
Reduce wavelength range of EEM spectra to widest available in the whole sample set.
Remove Raman and Rayleigh scattering in fluorescence data
Calculate the leverage of each emission and excitation wavelength and each sample
Determine the range of fluorescence values in a set of samples
Extracting a list of sample names in each subsample from a splithalf analysis
Extract data from emission and excitation wavelengths of the components of a PARAFAC model
Extracting TCC values from a splithalf analysis
Fits vs. components of PARAFAC models are plotted
Fitting amounts of components of any samples to a certain model
Caluclate Tucker's Congruence Coefficient of PARAFAC components
Smooth fluorescence data by calculating rolling mean along excitation wavelengths.
EEM spectra plotted with ggplot2
Combine leverages into one data frame and add optional labels.
PARAFAC model
Absorption data of 7 samples
result from PARAFAC split-half analysis
Plot samples by means of whole sample, each single component and residuum
Running a Split-Half analysis on a PARAFAC model
Converting EEM data from class eem to data.frame.
Calculating slopes and slope ratios of a data frame of absorbance data.
Reading absorbance data from txt and csv files.
Replace matched patterns in sample names
Runs a PARAFAC analysis on EEM data
blank samples
Calculate the amount of each component for samples not involved in model building
Opens an R markdown template for an easy and userfriendly analysis of EEM data.
Data from an eemlist is transformed into an array
Exclude complete wavelengths or samples form data set
Fit absorbance data to exponential curve. drm
is used for the fitting process. Modifying fluorescence data according to dilution.
Load all eemlist obects saved in different Rdata files in folder
Calculate raman area of EEM samples
Wrapper function to allow eem_inner_filter_effect (eemR) handling different cuvette lengths.
raw data from absorbance measurements, 5cm pathlength
Plot a set of PARAFAC models to compare the single components
Determines the the biggest range of EEM spectrum where data is available from each sample.
Missing values are interpolated within EEM data