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.
## S4 method for signature 'ANY, flowClust': split(x, f, split, select, rm.outliers=TRUE) ## S4 method for signature 'flowFrame, tmixFilterResult': split(x, f, split, select, rm.outliers=TRUE)
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 . |
split |
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. When this argument is missing, 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. |
select |
An optional argument which facilitates the selection of columns. If specified, it either takes a numeric (not supported when x is of class flowFrame ) or character vector. |
rm.outliers |
A logical value indicating whether outliers will be removed or not. |
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.
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.