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.

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

Description

Usage

Arguments

Details