DepecheR-package        DepecheR: Determination of essential phenotypic
                        elements of clusters in high-dimensional
                        entities
dAllocate               Allocation of observations to pre-established
                        cluster centers.
dColorPlot              Display third variable as color on a 2D plot
dColorVector            Create a vector of colors of the same length as
                        the data
dContours               Create density contours for two-dimensional
                        data.
dDensityPlot            Display density on 2D plot
dResidualPlot           Showing the residuals when subtracting the
                        values from one group from another on a SNE
                        plot
dScale                  Scaling of a vector or a dataframe.
dSplsda                 Sparse partial least squares discriminant
                        analysis with paired and unpaired data
dViolins                Create violin plots for any variables of choise
dWilcox                 Wilcoxon rank-sum or signed rank test
                        comparison of subject groups in a dClust result
depeche                 Perform optimization and penalized K-means
                        clustering
groupProbPlot           Define and plot group probabilities
nUniqueNeighDons        How many donors are contained among the nearest
                        neighbors?
neighSmooth             Euclidean neighbor smoothing
testData                A 14 color flow cytometry dataset for example
                        execution and playing around
testDataDepeche         A depeche clustering of the testData set
testDataSNE             SNE of the testData set
