linear_model: Linear model

In structToolbox: Data processing & analysis tools for Metabolomics and other omics

Description

Linear models can be used to carry out regression, single stratum analysis of variance and analysis of covariance.

Usage

linear_model(formula, na_action = "na.omit", contrasts = list(), ...)

Arguments

formula	(formula) A symbolic description of the model to be fitted.
na_action	(character) NA action. Allowed values are limited to the following: "na.omit": Incomplete cases are removed. "na.fail": An error is thrown if NA are present. "na.exclude": Incomplete cases are removed, and the output result is padded to the correct size using NA. "na.pass": Does not apply a linear model if NA are present. The default is "na.omit".
contrasts	(list) The contrasts associated with a factor. The default is list.
...	Additional slots and values passed to struct_class.

Details

This object makes use of functionality from the following packages:

• stats

Value

A linear_model object.

References

R Core Team (2020). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Examples

D = iris_DatasetExperiment()
M = linear_model(formula = y~Species)

structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.