group-methods: Group peaks from different samples together

In anupbharade09/xcms_test: LC/MS and GC/MS Data Analysis

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,

anupbharade09/xcms_test documentation built on May 14, 2019, 4:07 a.m.