argument_glossary

datasets

Summarizes key information about statistical
objects in tidy tibbles. This makes it easy to report results, create
plots and consistently work with large numbers of models at once.
Broom provides three verbs that each provide different types of
information about a model. tidy() summarizes information about model
components such as coefficients of a regression. glance() reports
information about an entire model, such as goodness of fit measures
like AIC and BIC. augment() adds information about individual
observations to a dataset, such as fitted values or influence
measures.

Alex Hayes

broom

Convert Statistical Analysis Objects into Tidy Tibbles

David Robinson

Matthieu Gomez

Boris Demeshev

Dieter Menne

Benjamin Nutter

Luke Johnston

Ben Bolker

Francois Briatte

Jeffrey Arnold

Jonah Gabry

Luciano Selzer

Gavin Simpson

Jens Preussner

Jay Hesselberth

Hadley Wickham

Matthew Lincoln

Alessandro Gasparini

Lukasz Komsta

Frederick Novometsky

Wilson Freitas

Michelle Evans

Jason Cory Brunson

Simon Jackson

Ben Whalley

Michael Kuehn

Jorge Cimentada

Erle Holgersen

Karl Dunkle Werner

argument_glossary function

A tibble with 3 variables:<dl class="dl-horizontal">
<dt>method</dt><dd>One of "glance", "augment" or "tidy".</dd>
<dt>argument</dt><dd>Character name of allowed argument name.</dd>
<dt>description</dt><dd>Character description of argument use.</dd>
</dl>

Format

Allowed argument names in tidiers — argument_glossary

A tibble with 3 variables:<dl class='dl-horizontal'>
<dt>method</dt><dd>One of "glance", "augment" or "tidy".</dd>
<dt>argument</dt><dd>Character name of allowed argument name.</dd>
<dt>description</dt><dd>Character description of argument use.</dd>
</dl>

Allowed argument names in tidiers

argument_glossary: Allowed argument names in tidiers

Description

Usage

Arguments

Format

Examples