PCA.GENES: Obtain principal components into a matrix that has more...
In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data
View source: R/multifac_asca_heatmap2.R
PCA.GENES R Documentation
Obtain principal components into a matrix that has more variables than individuals
Description
X is a matrix that has as columns the compounds that were considered as variables in the PCA analysis.
First we center the matrix by columns (Xoff) and then we obtain the eigenvalues and the
eigenvectors of the matrix Xoff
use the equivalences between the loadings and scores to obtain the solution
Usage
PCA.GENES(X)
Arguments
X
Input matrix that has as columns the compounds that were considered as variables in the PCA analysis
Author(s)
Jeff Xia jeff.xia@mcgill.ca
McGill University, Canada
License: GNU GPL (>= 2)
xia-lab/MetaboAnalystR documentation built on Dec. 23, 2024, 3:44 p.m.
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View source: R/multifac_asca_heatmap2.R
| PCA.GENES | R Documentation |
Obtain principal components into a matrix that has more variables than individuals
Description
X is a matrix that has as columns the compounds that were considered as variables in the PCA analysis. First we center the matrix by columns (Xoff) and then we obtain the eigenvalues and the eigenvectors of the matrix Xoff use the equivalences between the loadings and scores to obtain the solution
Usage
PCA.GENES(X)
Arguments
X |
Input matrix that has as columns the compounds that were considered as variables in the PCA analysis |
Author(s)
Jeff Xia jeff.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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