met.PLSR.Anal: Partial least squares (PLS) analysis using _oscorespls_...
In NicWir/VisomX: User-Friendly and Comprehensive Analysis and Visualization of Omics Data
met.PLSR.Anal R Documentation
Partial least squares (PLS) analysis using oscorespls (Orthogonal scores algorithm)
Description
met.PLSR.Anal performs PLS analysis using oscorespls.
Usage
met.PLSR.Anal(mSetObj = NA, reg = FALSE, data = "all")
Arguments
mSetObj
Enter name of the created mSet object (see met.read_data).
reg
(Logical)
data
(Character) Enter "all" to train the PLS(-DA) model on your whole (filtered and normalized) dataset or "anova" to use a subset of features defined as significant based on ANOVA analysis.
Value
The input mSet object with the results of PLS-DA at mSetObj$analSet$plsr.
Author(s)
Nicolas T. Wirth mail.nicowirth@gmail.com
Technical University of Denmark
License: GNU GPL (>= 2)
References
adapted from PLSR.Anal (https://github.com/xia-lab/MetaboAnalystR).
NicWir/VisomX documentation built on Dec. 8, 2024, 1:27 a.m.
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.
| met.PLSR.Anal | R Documentation |
Partial least squares (PLS) analysis using oscorespls (Orthogonal scores algorithm)
Description
met.PLSR.Anal performs PLS analysis using oscorespls.
Usage
met.PLSR.Anal(mSetObj = NA, reg = FALSE, data = "all")
Arguments
mSetObj |
Enter name of the created mSet object (see |
reg |
(Logical) |
data |
(Character) Enter |
Value
The input mSet object with the results of PLS-DA at mSetObj$analSet$plsr.
Author(s)
Nicolas T. Wirth mail.nicowirth@gmail.com Technical University of Denmark License: GNU GPL (>= 2)
References
adapted from PLSR.Anal (https://github.com/xia-lab/MetaboAnalystR).
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.