standardize: Function to scale covariates.
In MetabolAnalyze: Probabilistic Latent Variable Models for Metabolomic Data
Description
Usage
Arguments
Details
Value
Author(s)
Description
A function to scale covariates so that they lie in [0,1] for reasons of stability and convergence of the EM algorithm.
Usage
1
standardize(Covars)
Arguments
Covars
An N x L matrix containing the L covariates of each of N observations.
Details
A function to scale covariates so that they lie in [0,1] for reasons of stability and convergence of the EM algorithm. Care must be taken with categorical covariates: see ppcca.metabol for further information.
Value
Covars
A standardized version of the input matrix of covariates.
Author(s)
Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan
MetabolAnalyze documentation built on Aug. 31, 2019, 5:05 p.m.
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Description Usage Arguments Details Value Author(s)
Description
A function to scale covariates so that they lie in [0,1] for reasons of stability and convergence of the EM algorithm.
Usage
1 | standardize(Covars)
|
Arguments
Covars |
An N x L matrix containing the L covariates of each of N observations. |
Details
A function to scale covariates so that they lie in [0,1] for reasons of stability and convergence of the EM algorithm. Care must be taken with categorical covariates: see ppcca.metabol for further information.
Value
Covars |
A standardized version of the input matrix of covariates. |
Author(s)
Nyamundanda Gift, Isobel Claire Gormley and Lorraine Brennan
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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