augment

model or other R object to convert to data frame

original dataset, if needed (when possible this is extracted
from the model)

data

Given an R statistical model or other non-tidy object, add columns to the
original dataset such as predictions, residuals and cluster assignments.

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: Augment data according to a tidied model

Description

Usage

Arguments

Details

See Also