suicide

Various personality and clinical psychological characteristics were assessed
as part of an online-study preventing suicide. To identify persons at risk
for attempting suicide, various demographic and clinical characteristics
were assessed. Depressive Symptom Inventory - Suicidality Subscale
(DSA-SS) sum scores and past suicide attempts from 532 subjects are
included as a demonstration set to calculate optimal cutpoints. Two
additional demographic variables (age, gender) are also included to test
for group differences.

datasets

Estimate cutpoints that optimize a specified metric in binary classification tasks
and validate performance using bootstrapping. Some methods for more robust cutpoint
estimation are supported, e.g. a parametric method assuming normal distributions,
bootstrapped cutpoints, and smoothing of the metric values per cutpoint using
Generalized Additive Models. Various plotting functions are included. For an overview
of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.

Christian Thiele

cutpointr

Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks

suicide function

A data frame with 532 rows and 4 variables:<dl class="dl-horizontal">
 <dt>age</dt><dd>(numeric) Age of participants in years</dd>
 <dt>gender</dt><dd>(factor) Gender</dd>
 <dt>dsi</dt><dd>(numeric) Sum-score (0 = low suicidality, 12 = high suicidality)</dd>
 <dt>suicide</dt><dd>(factor) Past suicide attempt (no = no attempt, yes = at least one attempt)</dd>
</dl>

Format

Suicide attempts and DSI sum scores of 532 subjects — suicide

A data frame with 532 rows and 4 variables:<dl class='dl-horizontal'>
 <dt>age</dt><dd>(numeric) Age of participants in years</dd>
 <dt>gender</dt><dd>(factor) Gender</dd>
 <dt>dsi</dt><dd>(numeric) Sum-score (0 = low suicidality, 12 = high suicidality)</dd>
 <dt>suicide</dt><dd>(factor) Past suicide attempt (no = no attempt, yes = at least one attempt)</dd>
</dl>

suicide: Suicide attempts and DSI sum scores of 532 subjects

Description

Usage

Arguments

Format