# resampleSummary

From caret v6.0-80
by Max Kuhn

##### Summary of resampled performance estimates

This function uses the out-of-bag predictions to calculate overall performance metrics and returns the observed and predicted data.

- Keywords
- utilities

##### Usage

`resampleSummary(obs, resampled, index = NULL, keepData = TRUE)`

##### Arguments

- obs
A vector (numeric or factor) of the outcome data

- resampled
For bootstrapping, this is either a matrix (for numeric outcomes) or a data frame (for factors). For cross-validation, a vector is produced.

- index
The list to index of samples in each cross--validation fold (only used for cross-validation).

- keepData
A logical for returning the observed and predicted data.

##### Details

The mean and standard deviation of the values produced by
`postResample`

are calculated.

##### Value

A list with:

A vector of values describing the bootstrap distribution.

A data frame or `NULL`

. Columns
include `obs`

, `pred`

and `group`

(for tracking
cross-validation folds or bootstrap samples)

##### See Also

##### Examples

```
# NOT RUN {
resampleSummary(rnorm(10), matrix(rnorm(50), ncol = 5))
# }
```

*Documentation reproduced from package caret, version 6.0-80, License: GPL (>= 2)*

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