# Append a tibble of predictions returned by `predict_boots()`

with upper and
lower bounds.

Source: `R/summarise_boots.R`

`summarise_predictions.Rd`

Append a tibble of predictions returned by `predict_boots()`

with upper and
lower bounds.

## Usage

```
summarise_predictions(.data, interval_width = 0.95, conf = NULL)
summarize_predictions(.data, interval_width = 0.95, conf = NULL)
```

## Arguments

- .data
a tibble of predictions returned by

`predict_boots()`

.- interval_width
a value between (0, 1) specifying the interval range.

- conf
deprecated - please use

`interval_width`

instead.

## Value

Appends the tibble of predictions returned by `predict_boots()`

with
three new columns: `.pred_lower`

, `.pred`

, and `.pred_upper`

.

## Details

Generates a summary of predictions with a upper and lower interval
range. Presently, the `quantile()`

function from the `{stats}`

package is
used to determine the lower, 50th percentile, and upper interval ranges.

## Examples

```
if (FALSE) {
library(tidymodels)
# setup a workflow without fitting
wf <-
workflow() %>%
add_recipe(recipe(qsec ~ wt, data = mtcars)) %>%
add_model(linear_reg())
# fit and predict 2000 bootstrap resampled models to mtcars
set.seed(123)
preds <-
wf %>%
predict_boots(n = 2000, training_data = mtcars, new_data = mtcars)
# append with prediction interval summary columns
preds %>%
summarise_predictions(conf = 0.95)
}
```