PLSDA.CV: PLS-DA classification and feature selection
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data
Description
Usage
Arguments
Author(s)
View source: R/stats_chemometrics.R
Description
PLS-DA classification and feature selection
Usage
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PLSDA.CV(
mSetObj = NA,
methodName = "T",
compNum = GetDefaultPLSCVComp(mSetObj),
choice = "Q2"
)
Arguments
mSetObj
Input name of the created mSet Object
methodName
Logical, by default set to TRUE
compNum
GetDefaultPLSCVComp()
choice
Input the choice, by default it is Q2
Author(s)
Jeff Xiajeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.
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Description Usage Arguments Author(s)
View source: R/stats_chemometrics.R
Description
PLS-DA classification and feature selection
Usage
1 2 3 4 5 6 | PLSDA.CV(
mSetObj = NA,
methodName = "T",
compNum = GetDefaultPLSCVComp(mSetObj),
choice = "Q2"
)
|
Arguments
mSetObj |
Input name of the created mSet Object |
methodName |
Logical, by default set to TRUE |
compNum |
GetDefaultPLSCVComp() |
choice |
Input the choice, by default it is Q2 |
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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