plot,flowFrame,tmixFilterResult-method {flowClust} | R Documentation

## Scatterplot / 1-D Density Plot of Filtering (Clustering) Results

### Description

Depending on the dimensions specified, this method generates either a scatterplot or a one-dimensional density plot (histogram) based on the robust model-based clustering results.

### Usage

    ## S4 method for signature 'flowFrame,tmixFilterResult'
    plot(x, y, z = NULL, ...)

    ## S4 method for signature 'flowFrame,tmixFilterResultList'
    plot(x, y, z = NULL, ...)

### Arguments

`x` | Object of class `flowFrame`. This is the data object on which `filter` was performed.
`y` | Object of class `tmixFilterResult` or `tmixFilterResultList` returned from running `filter`.
`z` | A character vector of length one or two containing the name(s) of the variable(s) selected for the plot. If it is of length two, a scatterplot will be generated. If it is of length one, a 1-D density plot will be made. If it is unspecified, the first one/two variable(s) listed in `y@varNames` will be used.
`...` | All optional arguments passed to the `plot` or `hist` method with signature `'flowClust'`. Note that arguments `x`, `data` and `subset` have already been provided by `y`, `x` and `z` above respectively.

### Note

This `plot` method is designed such that it resembles the argument list of the `plot` method defined in the flowCore package. The actual implementation is done through the `plot` or `hist` method defined for a `flowClust` object.

### 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

`filter`, `plot`, `hist`

[Package flowClust version 3.30.0 Index]