| split,flowClust-method {flowClust} | R Documentation |
This method splits data according to results of the clustering (filtering) operation. Outliers identified will be removed by default.
A list object with elements each of which is a subset of x and also retains the same class as x. If the split argument is specified with a list of named elements, those names will be used to name the corresponding elements in the resultant list object.
split(x, f, drop=FALSE, population=NULL, split=NULL, rm.outliers=TRUE, ...)
flowFrame. This is the object on which flowClust or filter was performed.flowClust or filter.FALSE, meaning that a single-column matrix will be retained.K subsets each of which is formed by one out of the K clusters used to model the data. See examples for more details.population instead.Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>
Lo, K., Brinkman, R. R. and Gottardo, R. (2008) Automated Gating of Flow Cytometry Data via Robust Model-based Clustering. Cytometry A 73, 321-332.