m_pow_x: Modeling power
In ricoderks/Rcpm: General functions for the Center of Proteomics and Metabolomics (LUMC)
m_pow_x R Documentation
Modeling power
Description
Calculate the modeling power of each variable from a PCA model.
Usage
m_pow_x(data, pca_model)
Arguments
data
is a matrix of the original data (centered and scaled)
pca_model
is the pca model from the package pcaMethods
Details
Calculates the modeling power of each variable from a PCA model as is done in Umetrics Simca.
Value
Vector of the modeling power for each variable
Author(s)
Rico Derks
ricoderks/Rcpm documentation built on May 18, 2022, 7:49 a.m.
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| m_pow_x | R Documentation |
Modeling power
Description
Calculate the modeling power of each variable from a PCA model.
Usage
m_pow_x(data, pca_model)
Arguments
data |
is a matrix of the original data (centered and scaled) |
pca_model |
is the pca model from the package pcaMethods |
Details
Calculates the modeling power of each variable from a PCA model as is done in Umetrics Simca.
Value
Vector of the modeling power for each variable
Author(s)
Rico Derks
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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