augment_columns

original data onto which columns should be added

data

newdata

Type of prediction and residuals to compute

type

Type of prediction to compute; by default
same as <code>type</code>

type.predict

Type of residuals to compute; by default
same as <code>type</code>

type.residuals

Value to pass to predict's <code>se.fit</code>, or NULL for
no value

se.fit

Add fitted values, residuals, and other common outputs to
the value returned from <code>augment</code>.

Convert statistical analysis objects from R into tidy data frames,
so that they can more easily be combined, reshaped and otherwise processed
with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three
S3 generics: tidy, which summarizes a model's statistical findings such as
coefficients of a regression; augment, which adds columns to the original
data such as predictions, residuals and cluster assignments; and glance, which
provides a one-row summary of model-level statistics.

David Robinson

broom

Convert Statistical Analysis Objects into Tidy Data Frames

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

augment_columns function

add fitted values, residuals, and other common outputs to
an augment call — augment_columns

add fitted values, residuals, and other common outputs to
an augment call

augment_columns: add fitted values, residuals, and other common outputs to an augment call

Description

Usage

Arguments

Details