ASCA.Calculate          ASCA method (ANOVA-simultaneous component
                        analysis)
ASCA.DoPermutationTest
                        Permutation test for ASCA
ASCA.GetPowerSet        Determines the power set of the input set.
ASCA.GetRowRepeats      Determination of all unique row value
                        combinations
ASCA.GetSummary         Summary method for ASCA analyses
ASCA.Plot               Plot ASCA results
ASCA.PlotLoadings       Loadings plot for a specific factor/interaction
                        of the ASCA
ASCA.PlotScores         Score plot for a specific factor or interaction
                        of the ASCA
ASCA.PlotScoresPerLevel
                        ASCA scores plot with projected data.
ASCAF                   Indicator matrix for ASCA example.
ASCAX                   Data matrix for ASCA example
ASCAdata                Example data for ASCA.Calculate
FoM.Calculate           Calculate best fitting Figure of Merit using
                        method by Van Batenburg et al. (2011).
FoM.FitBinnedSampleRepeatErrors
                        Fitting step in Figure of Merit calculation.
FoM.GetIdOrderedMatrix
                        Order the matrix of samples by their ID
FoM.OrderAndBinIdByMeans
                        Bin sample repeats and samples with similar
                        means
FoMData                 Example data for FoM.Calculate
MetStaT.ConcatWithStringPars
                        Concatenates an array of strings
MetStaT.ConvertToNumeric
                        Converts a matrix of strings to numeric values
MetStaT.ConvertToNumericClasses
                        Convert value-types in an array or matrix (per
                        column) to pre-defined class-values
MetStaT.CreateFileFromHeaderMatrix
                        Writes a matrix to file with column names and
                        optionally row names as well.
MetStaT.CreateFileFromHeaderRowMatrix
                        Writes a matrix to file with row and column
                        names, and optionally a description at the
                        first (top left) data position in the file.
MetStaT.ExportDataToFile
                        Exports the results of supplied R expressions
                        as text files in a single zip package.
MetStaT.GetFreqTable    Tabulates the frequency of all unique values.
MetStaT.GetPcTuples     Obtain all possible pairs of principal
                        components out of a defined set.
MetStaT.KillAllDevices
                        Kills all currently active plot windows.
MetStaT.PlotToFile      Save results of R plotting expressions to files
                        in a zip package.
MetStaT.ReadFileToHeaderMatrix
                        Reads a data file to a matrix.
MetStaT.RemoveNaColumns
                        Removes all columns in a matrix that contain
                        one or more NAs.
MetStaT.ScalePip        Centering and scaling function
MetStaT.TrimCustom      Limits an input string to a certain length
MetStaT.WriteDataObjectToFile
                        Write data contained within an R object as
                        character output to a file.
MetStaT.mldivide        Matrix left hand division using a copy of the
                        'pracma' package 'mldivide' method.
MetStaT.mrdivide        Matrix right hand division using a copy of the
                        'pracma' package 'mrdivide' method.
PCA.Calculate           Adapted version of R's base Principal Component
                        Analysis function (svd)
PCA.PlotLoadings        Loadings plot for the results of PCA.Calculate
PCA.PlotScores          Score plot for the results of PCA.Calculate.
QStat.Calculate         Global test for metabolic pathway differences
                        between conditions
QStat.PermutationTest   Accompanying permutation test for
                        QStat.Calculate
QStatX                  Data matrix for QStat.Calculate example
QStatY                  Matrix for QStat.Calculate example
RevNet.JacobianMethod   Reverse engineering of networks: Penalized
                        Jacobian method
RevNet.TimeLaggedMethod
                        Reverse engineering of networks: Time-lagged
                        correlation method
RevNet.ZeroSlopesMethod
                        Reverse engineering of networks: zero slopes
                        method
RevNetJacobian          Example data for RevNetJacobianMethod
RevNetTimeLagged        Example data for RevNetTimeLaggedMethod
RevNetZeroSlopes        Example data for RevNetZeroSlopesMethod
SteadyState             Example data for RevNetJacobianMethod
