| sw_augment {sweep} | R Documentation |
Augment data according to a tidied model
Description
Given an R statistical model or other non-tidy object, add columns to the original dataset such as predictions, residuals and cluster assignments.
Usage
sw_augment(x, ...)
Arguments
x |
model or other R object to convert to data frame |
... |
other arguments passed to methods |
Details
sw_augment() is a wrapper for broom::augment(). The benefit of sw_augment
is that it has methods for various time-series model classes such as
HoltWinters, ets, Arima, etc.
For non-time series, sw_augment() defaults to broom::augment().
The only difference is that the return is a tibble.
Note that by convention the first argument is almost always data,
which specifies the original data object. This is not part of the S3
signature, partly because it prevents rowwise_df_tidiers from
taking a column name as the first argument.