methods.immunoClust {immunoClust} | R Documentation

## Acessors and Methods for immunoClust Objects

### Description

Documentation of the accessors and methods for immunoClust-objects

### Arguments

`object, immunoClust` | an object of class `immunoClust` as return by `cell.process`.
`cls` | cluster subset for retrieved slot values.
`par` | parameter subset for retrieved slot values.

### Accessors

nobs

  the number of cell events clustered

  Usage:

  `nobs(immunoClust)`

ncls

  the number of clusters.

  Usage:

  `ncls(immunoClust)`

npar

  the number of parameters measured, cell-clustered

  Usage:

  `npar(immunoClust)`

parameters, parameters<-

  extracts or replaces the names of measured, cell-clustered parameters

  Usage:

  `parameters(immunoClust)`

  `parameters(immunoClust) <- value`

label

  the clustering label, that is the assignment of the cell-events to the clusters.

  Usage:

  `label(immunoClust)`

weights

  the clustering weights for the cluster selection (all cluster by default)

  Usage:

  `weights(immunoClust,cls=seq_len(ncls(immunoClust)))`

mu

  the cluster mean values for the cluster and parameter selection (all cluster and all parameter by default)

  Usage:

  `mu(immunoClust, cls=seq_len(ncls(immunoClust)), par=seq_len(npar(immunoClust)))`

sigma

  the cluster co-variance values for the cluster and parameter selection (all cluster and all parameter by default)

  Usage:

  `sigma(immunoClust, cls=seq_len(ncls(immunoClust)), par=seq_len(npar(immunoClust)))`

events

  the cell-event numbers for the cluster selection (all cluster by default)

  Usage:

  `events(immunoClust, ncls=seq_len(ncls(immunoClust)))`

### Methods

subset

  Builds the `immunoClust`-object for a parameter subset

  Usage:

  `res <- subset(immunoClust, par)`

transformParams

  Scales and translates the cluster means of the `immunoClust`-object in each parameter

  Usage:

  `res <- transformParams(immunoClust, scale=c(), offset=c())`

### Author(s)

Till Sörensen till-antoni.soerensen@charite.de

### See Also

`immunoClust-object`

### Examples

    ###
    data(dat.exp)
    ## cell.clustering result for dat.fcs
    res <- dat.exp[[1]]
    nobs(res)
    ncls(res)

[Package immunoClust version 1.18.1 Index]