linreg_all_vars

list representing the dataset from a metabolomics experiment.

dataset

metadata variables to use in linear regression. For example, c('variable1','variable2').

metadata.vars

a formula specifying the model. For example, 'variable1+variable2'.

combination

Performs linear regression analysis over the dataset with the selected metadata's variables.

 regression

 linear 

Provides a set of methods for metabolomics
data analysis, including data loading in different formats,
pre-processing, metabolite identification, univariate and multivariate
data analysis, machine learning, feature selection and pathway analysis. Case studies
can be found on the website: <http://bio.di.uminho.pt/metabolomicspackage/index.html>.
This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it,
use: devtools::install_github('cytoscape/r-cytoscape.js@v0.0.7').

linreg_all_vars: Linear Regression

Description

Usage

Arguments

Value