Map,flowClust-method {flowClust} | R Documentation

## Cluster Assignment Based on Clustering Results

### Description

This method performs cluster assignment according to the posterior probabilities of clustering memberships resulted from the clustering (filtering) operations. Outliers identified will be left unassigned by default.

### Usage

    Map(f, ...)

    ## S4 method for signature 'flowClust'
    Map(f, rm.outliers = TRUE, ...)

    ## S4 method for signature 'flowClustList'
    Map(f, rm.outliers = TRUE, ...)

### Arguments

`f` | Object returned from `flowClust` or `filter`.
`rm.outliers` | A logical value indicating whether outliers will be left unassigned or not.
`...` | Further arguments to be passed to or from other methods.

### Value

A numeric vector of size N (the number of observations) indicating to which cluster each observation is assigned. Unassigned observations will be labelled as `NA`.

### Note

Even if `rm.outliers` is set to `FALSE`, `NA` may still appear in the resultant vector due to the filtered observations; see the descriptions about the `min.count`, `max.count`, `min` and `max` arguments of `flowClust`.

### Author(s)

Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

### 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

`flowClust`, `filter`, `posterior`

[Package flowClust version 3.18.0 Index]