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 |
nUniqueNeighDons |
How many donors are contained among the nearest neighbors? |
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 |