ClassifyByEvent_SVM: ClassifyByEvent_SVM

In Mthrun/dbt.FlowCytometry: Databionics Toolbox for the Analysis of Fluorescence-Activated Cell Sorting (FACS) Data

ClassifyByEvent_SVM

Description

Performs Eventbased SVM in order to classify datasets by majority

Usage

ClassifyByEvent_SVM(DataListTrain, Cls, DataListTest, type = "C-classification", probability = T, ...)

Arguments

DataListTrain	[1:p] list of datasets, each dataset has exactly [1:n,1:d] cases and features
Cls	[1:p] numerical vector defining the class for each dataset
DataListTest	[1:l] list of datasets, each dataset has exactly [1:n,1:d] cases and features
type	svm type
probability	true or false setting for svm
...	further parameters for svm model

Details

...

Value

List with

ClsTest	[1:l] probability of a dataset belonging to a class
Model	vent-based SVM model
ClsTrain	[1:p] numerical vector defining the probability for each dataset beloning to a class

Author(s)

Michael Thrun

References

to be published

Examples

#ToDo

Mthrun/dbt.FlowCytometry documentation built on June 5, 2023, 10:30 a.m.