flowClust (version 3.10.1)

split,flowClust-method: Splitting Data Based on Clustering Results

Description

This method splits data according to results of the clustering (filtering) operation. Outliers identified will be removed by default.

Arguments

x

A numeric vector, matrix, data frame of observations, or object of class flowFrame. This is the object on which flowClust or filter was performed.

f

Object returned from flowClust or filter.

drop

A logical value indicating whether to coerce a column matrix into a vector, if applicable. Default is FALSE, meaning that a single-column matrix will be retained.

population

An optional argument which specifies how to split the data. If specified, it takes a list object with named or unnamed elements each of which is a numeric vector specifying which clusters are included. If this argument is left unspecified, the data object will be split into K subsets each of which is formed by one out of the K clusters used to model the data. See examples for more details.

split

This argument is deprecated. Should use population instead.

rm.outliers

A logical value indicating whether outliers are removed or not.

...

Further arguments to be passed to or from other methods.

Value

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.

Usage

split(x, f, drop=FALSE, population=NULL, split=NULL, rm.outliers=TRUE, ...)

References

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.

See Also

Subset, flowClust, filter