fit_lm

fit_logistic

fit_poisson

fit_cox

fit_lme

fit_glmer

fit_lmer

A data.table with all variables to be fitted.

data

formula

Variables to keep regression results.

keep

Further arguments passed to regression model.

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`fit_lm`: linear regression model <code><a rd-options="" href="/link/lm?package=metabolomicsR&version=1.0.0" data-mini-rdoc="metabolomicsR::lm">lm</a></code>.
`fit_logistic`: logistic regression model <code><a rd-options="" href="/link/glm?package=metabolomicsR&version=1.0.0" data-mini-rdoc="metabolomicsR::glm">glm</a></code>.
`fit_poisson`: poisson regression model <code><a rd-options="" href="/link/glm?package=metabolomicsR&version=1.0.0" data-mini-rdoc="metabolomicsR::glm">glm</a></code>.
`fit_cox`: proportional hazards regression model <code><a rd-options="survival" href="/link/coxph?package=metabolomicsR&version=1.0.0&to=survival" data-mini-rdoc="survival::coxph">coxph</a></code>.
`fit_lme`: linear mixed-effects model <code><a rd-options="nlme" href="/link/lme?package=metabolomicsR&version=1.0.0&to=nlme" data-mini-rdoc="nlme::lme">lme</a></code>.
`fit_glmer`: logistic linear mixed-effects model <code><a rd-options="lme4" href="/link/glmer?package=metabolomicsR&version=1.0.0&to=lme4" data-mini-rdoc="lme4::glmer">glmer</a></code>.
`fit_lmer`: linear mixed-effects model <code><a rd-options="lme4" href="/link/lmer?package=metabolomicsR&version=1.0.0&to=lme4" data-mini-rdoc="lme4::lmer">lmer</a></code>.

Tools to preprocess, analyse, and visualize metabolomics data.
We included a set of functions for sample and metabolite quality control,
outlier detection, missing value imputation, dimensional reduction, normalization,
data integration, regression, metabolite annotation, enrichment analysis,
and visualization of data and results. The package is designed to be a comprehensive R package
that can be easily used by researchers with basic R programming skills.
The framework designed here is versatile and is extensible to other various methods.

Xikun Han

metabolomicsR

Tools for Metabolomics Data

fit_lm function

`fit_lm`: linear regression model <code><a rd-options='' href='lm'>lm</a></code>.
`fit_logistic`: logistic regression model <code><a rd-options='' href='glm'>glm</a></code>.
`fit_poisson`: poisson regression model <code><a rd-options='' href='glm'>glm</a></code>.
`fit_cox`: proportional hazards regression model <code><a rd-options='survival' href='coxph'>coxph</a></code>.
`fit_lme`: linear mixed-effects model <code><a rd-options='nlme' href='lme'>lme</a></code>.
`fit_glmer`: logistic linear mixed-effects model <code><a rd-options='lme4' href='glmer'>glmer</a></code>.
`fit_lmer`: linear mixed-effects model <code><a rd-options='lme4' href='lmer'>lmer</a></code>.

fit_lm: available regression methods

Description

Usage

Arguments

Value

See Also