PLSDA.CV: PLS-DA classification and feature selection
In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data
View source: R/stats_chemometrics.R
PLSDA.CV R Documentation
PLS-DA classification and feature selection
Description
PLS-DA classification and feature selection
Usage
PLSDA.CV(
mSetObj = NA,
cvOpt = "loo",
foldNum = 5,
compNum = GetDefaultPLSCVComp(mSetObj),
choice = "Q2",
segments = 10
)
Arguments
mSetObj
Input name of the created mSet Object
compNum
GetDefaultPLSCVComp()
choice
Input the choice, by default it is Q2
methodName
Logical, by default set to TRUE
Author(s)
Jeff Xiajeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR documentation built on Sept. 12, 2024, 2:23 p.m.
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View source: R/stats_chemometrics.R
| PLSDA.CV | R Documentation |
PLS-DA classification and feature selection
Description
PLS-DA classification and feature selection
Usage
PLSDA.CV(
mSetObj = NA,
cvOpt = "loo",
foldNum = 5,
compNum = GetDefaultPLSCVComp(mSetObj),
choice = "Q2",
segments = 10
)
Arguments
mSetObj |
Input name of the created mSet Object |
compNum |
GetDefaultPLSCVComp() |
choice |
Input the choice, by default it is Q2 |
methodName |
Logical, by default set to TRUE |
Author(s)
Jeff Xiajeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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