group-methods {xcms} | R Documentation

## Group peaks from different samples together

### Description

A number of grouping (or alignment) methods exist in XCMS. `group` is the generic method.

### Arguments

`object` | `xcmsSet-class` object
`method` | Method to use for grouping. See details.
`...` | Optional arguments to be passed along

### Details

Different algorithms can be used by specifying them with the `method` argument. For example to use the density-based approach described by Smith et al (2006) one would use: `group(object, method="density")`. This is also the default.

Further arguments given by `...` are passed through to the function implementing the `method`.

A character vector of nicknames for the algorithms available is returned by `getOption("BioC")$xcms$group.methods`. If the nickname of a method is called "mzClust", the help page for that specific method can be accessed with `?group.mzClust`.

### Value

An `xcmsSet` object with peak group assignments and statistics.

### Methods

object = "xcmsSet"

  `group(object, ...)`

### See Also

`group.density` `group.mzClust` `group.nearest` `xcmsSet-class`,

[Package xcms version 3.6.2 Index]