Augment data according to a tidied model

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.

See also

broom::augment()