flowObj-class: Class "flowObj"
Description
A class inheriting from flowClust that groups the model and data in a single object.Objects from the Class
Objects can be created by calls of the form new("flowObj", ...). Has a convenience method flowObj(flowClustObj, flowFrameObj) for creating instances of the class.Slots
DATA:- An
"environment" that holds a pointer to the flowFrame data in position [[1]]. expName:- As described in the
flowClust documentation varNames:- As described in the
flowClust documentation K:- As described in the
flowClust documentation w:- As described in the
flowClust documentation mu:- As described in the
flowClust documentation sigma:- As described in the
flowClust documentation lambda:- As described in the
flowClust documentation nu:- As described in the
flowClust documentation z:- As described in the
flowClust documentation u:- As described in the
flowClust documentation label:- As described in the
flowClust documentation uncertainty:- As described in the
flowClust documentation ruleOutliers:- As described in the
flowClust documentation flagOutliers:- As described in the
flowClust documentation rm.min:- As described in the
flowClust documentation rm.max:- As described in the
flowClust documentation logLike:- As described in the
flowClust documentation BIC:- As described in the
flowClust documentation ICL:- As described in the
flowClust documentation
Extends
Class "flowClust", directly.Methods
- getData
signature(obj = "flowObj"): Retreives the contents of the DATA environment - merge
signature(x = "flowObj", y = "missing"): the flowMerge algorithm is called via this function on objects of type flowObj. - plot
signature(x = "flowObj", y = "missing"): A simplified plotting method. Does not require specification of the data since it is contained in the flowObj object. Takes most of the same parameters as plot.flowClust, except the data parameter
References
Finak G, Bashasharti A, Brinkmann R, Gottardo R. Merging Mixture Model Components for Improved Cell Population Identification in High Throughput Flow Cytometry Data; Advances in Bioinformatics (To Appear)