feasibilityAnalysisDataBased: Simulating dataset based on existing dataset's dimensions,...

In BioSok/omada: Machine learning tools for automated transcriptome clustering analysis

Simulating dataset based on existing dataset's dimensions, mean and standard deviation

Description

Simulating dataset based on existing dataset's dimensions, mean and standard deviation

Usage

feasibilityAnalysisDataBased(data, classes = 3)

Arguments

data	The dataset to base the simulation extracting the number of samples, features and numeric
classes	The number of classes of samples to be reflected in the simulated dataset. Also determines the ks to be considered (classes-2, classes+2)

Value

An object of class "feasibilityAnalysis" containing the average stabilities for all numbers of clusters(k), the average (over all k) and maximum stabilities observed and the generated dataset

Examples

feasibilityAnalysisDataBased(data = toy_genes, classes = 2)

BioSok/omada documentation built on Aug. 21, 2023, 2:38 p.m.