Man pages for DepecheR
Determination of essential phenotypic elements of clusters in high-dimensional entities
| dAllocate | Allocation of observations to pre-established cluster... |
| 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-package | DepecheR: Determination of essential phenotypic elements of... |
| dResidualPlot | Showing the residuals when subtracting the values from one... |
| dScale | Scaling of a vector or a dataframe. |
| dSplsda | Sparse partial least squares discriminant analysis with... |
| dViolins | Create violin plots for any variables of choise |
| dWilcox | Wilcoxon rank-sum or signed rank test comparison of subject... |
| groupProbPlot | Define and plot group probabilities |
| microClust | This function is the core of the neighSmooth. See the... |
| neighSmooth | Euclidean neighbor smoothing |
| testData | A 14 color flow cytometry dataset for example execution and... |
| testDataDepeche | A depeche clustering of the testData set |
| testDataSNE | SNE of the testData set |
