R/generics.R
, R/components-ramclustr.R
generateComponentsRAMClustR.Rd
Uses RAMClustR to generate components from feature groups which follow similar chromatographic retention profiles and annotate their relationships (e.g. adducts and isotopes).
generateComponentsRAMClustR(fGroups, ...)
# S4 method for class 'featureGroups'
generateComponentsRAMClustR(
fGroups,
ionization = NULL,
st = NULL,
sr = NULL,
maxt = 12,
hmax = 0.3,
normalize = "TIC",
absMzDev = 0.002,
relMzDev = 5,
minSize = 2,
relMinReplicates = 0.5,
RCExperimentVals = list(design = list(platform = "LC-MS"), instrument = list(ionization
= ionization, MSlevs = 1)),
extraOptsRC = NULL,
extraOptsFM = NULL
)
# S4 method for class 'featureGroupsSet'
generateComponentsRAMClustR(fGroups, ionization = NULL, ...)
featureGroups
object for which components should be generated.
Further arguments passed to the non-sets workflow method.
Which ionization polarity was used to generate the data: should be "positive"
or "negative"
. If the featureGroups
object has adduct annotations, and ionization=NULL
, the
ionization will be detected automatically.
This parameter is not supported for sets workflows, as the ionization will always be detected automatically.
Arguments to tune the behaviour of feature group clustering. See their documentation
from ramclustR
. When st
is NULL
it will be automatically calculated as the
half of the median for all chromatographic peak widths.
Maximum absolute m/z deviation. Sets the mzabs.error
argument to do.findmain
Maximum relative mass deviation (ppm). Sets the ppm.error
argument to
do.findmain
.
The minimum size of a component. Smaller components than this size will be removed. See note below. Sets the minModuleSize
argument to ramclustR
.
Feature groups within a component are only kept when they contain data for at least this (relative) amount of replicate analyses. For instance, 0.5 means that at least half of the replicates should contain data for a particular feature group in a component. In this calculation replicates that are fully absent within a component are not taken in to account. See note below.
A named list
containing two more list
s: design
and instrument
.
These are used to construct the ExpDes
argument passed to ramclustR
.
Named list
with further arguments to be passed to
ramclustR
and do.findmain
. Set to NULL
to ignore.
A components
(derived) object containing all generated components.
This function uses RAMClustR to generate components. This function is called when calling generateComponents
with
algorithm="ramclustr"
.
This method uses the ramclustR
functions for generating the components, whereas
do.findmain
is used for annotation.
The default value for relMinReplicates
results in
extra filtering, hence, the final results may be different than what the algorithm normally would return.
In a sets workflow the componentization is first performed for each
set independently. The resulting components are then all combined in a componentsSet
object. Note that
the components themselves are never merged. The components are renamed to include the set name from which they were
generated (e.g. "CMP1"
becomes "CMP1-positive"
).
Broeckling2013patRoon
Broeckling2014patRoon
generateComponents
for more details and other algorithms.