meta.exprs {immunoClust} | R Documentation

## Collecting Data of an immunoClust vector

### Description

The function takes a vector of `immunoClust`-object obtained by the `cell.process` function and extracts ths information into a `list` object.

### Usage

    meta.exprs(exp, sub=c())

### Arguments

`exp` | The vector of `immunoClust` object with the cell clustering results.
`sub` | A integer array indicating the parameter subset to be collected.

### Value

A `list` object with the following slots:

`P` | The number of observed parameters for the cell event clusters.
`N` | The number of cell-clustering samples.
`K` | The N-dimensional vector with the numbers of cell event clusters in each experiment. The total number of clusters is sum(K).
`W` | The totK-dimensional vector with weights of all clusters.
`M` | The totK x P-dimensional matrix of all cluster means.
`S` | The totK x P x P-dimensional matrix of all cluster covariance matrices.
`expNames` | The N-dimensional vector with the experiment names of the cell clustering samples.
`expEvents` | The N-dimensional vector for the total number of events of the cell clustering samples.
`clsEvents` | The totK-dimensional vector for the event number of all clusters.
`desc` | The P-dimensional vector for the parameter description.

### Author(s)

Till Sörensen till-antoni.soerensen@charite.de

### References

Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T. immunoClust - an automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets. Cytometry A (accepted).

### See Also

`immunoClust`.

### Examples

    data(dat.exp)
    d <- meta.exprs(dat.exp, sub=c(1,2))

[Package immunoClust version 1.19.4 Index]