oc_mean: Use the sample mean as cutpoint

In cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

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 documentation built on April 14, 2022, 1:06 a.m.