Determination of essential phenotypic elements of clusters in high-dimensional entities


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Documentation for package ‘DepecheR’ version 1.22.0

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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