oc_mean {cutpointr} | R Documentation |

## Use the sample mean as cutpoint

### Description

The sample mean is calculated and returned as the optimal cutpoint.

### Usage

```
oc_mean(data, x, trim = 0, ...)
```

### Arguments

`data` |
A data frame or tibble in which the columns that are given in x and class can be found. |

`x` |
(character) The variable name to be used for classification, e.g. predictions or test values. |

`trim` |
The fraction (0 to 0.5) of observations to be trimmed from each end of x before the mean is computed. Values of trim outside that range are taken as the nearest endpoint. |

`...` |
To capture further arguments that are always passed to the method function by cutpointr. The cutpointr function passes data, x, class, metric_func, direction, pos_class and neg_class to the method function. |

### See Also

Other method functions:
`maximize_boot_metric()`

,
`maximize_gam_metric()`

,
`maximize_loess_metric()`

,
`maximize_metric()`

,
`maximize_spline_metric()`

,
`oc_manual()`

,
`oc_median()`

,
`oc_youden_kernel()`

,
`oc_youden_normal()`

### Examples

```
data(suicide)
oc_mean(suicide, "dsi")
cutpointr(suicide, dsi, suicide, method = oc_mean)
```

*cutpointr*version 1.1.2 Index]