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