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performance_rse

Residual Standard Error for Linear Models


Description

Compute residual standard error of linear models.

Usage

performance_rse(model)

Arguments

model

A model.

Details

The residual standard error is the square root of the residual sum of squares divided by the residual degrees of freedom.

Value

Numeric, the residual standard error of model.

Examples

data(mtcars)
m <- lm(mpg ~ hp + gear, data = mtcars)
performance_rse(m)

performance

Assessment of Regression Models Performance

v0.7.1
GPL-3
Authors
Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>)
Initial release

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