| 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 |
| depeche | Perform optimization and penalized K-means clustering |
| DepecheR | DepecheR: Determination of essential phenotypic elements of clusters in high-dimensional entities |
| 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 |
| groupProbPlot | Define and plot group probabilities |
| 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 |