cocaine_dependence

datasets

Easily build and evaluate machine learning models on a dataset. Machine
learning models supported include penalized linear models, penalized linear models
with interactions, random forest, support vector machines, neural networks,
and deep neural networks.

WooYoung Ahn

easyml

Easily Build and Evaluate Machine Learning Models

Woo-Young Ahn

Paul Hendricks

OSU-CCSL 

cocaine_dependence function

Data frame with columns<dl class="dl-horizontal">
<dt>subject</dt><dd>Subject ID</dd>
<dt>diagnosis</dt><dd>Diagnosis status</dd>
<dt>age</dt><dd>Age of Subject</dd>
<dt>male</dt><dd>Gender of subject</dd>
<dt>edu_yrs</dt><dd>Education of subject in years</dd>
<dt>imt_comm_errors</dt><dd>Immediate Memory Task commission errors</dd>
<dt>imt_omis_errors</dt><dd>Immediate Memory Task omission errors</dd>
<dt>a_imt</dt><dd>Immediate Memory Task non-parametric discriminability</dd>
<dt>b_d_imt</dt><dd>Immediate Memory Task response bias</dd>
<dt>stop_ssrt</dt><dd>Stop-Signal Task stop-signal reaction time</dd>
<dt>lnk_adjdd</dt><dd>log(Adjusting Delay-Discounting Task discounting rate)</dd>
<dt>lkhat_kirby</dt><dd>log(Kirby Monetary-Choice Delay-Discounting Questionnaire)</dd>
<dt>revlr_per_errors</dt><dd>Probabilistic Reversal-Learning Task errors</dd>
<dt>bis_attention</dt><dd>Barratt Impulsiveness Scale attentional impulsivity</dd>
<dt>bis_motor</dt><dd>Barratt Impulsiveness Scale motor impulsivity</dd>
<dt>bis_nonpL</dt><dd>Barratt Impulsiveness Scale nonplanning impulsivity</dd>
<dt>igt_total</dt><dd>Iowa Gambling Task total score</dd>
</dl>

Format

Cocaine data. — cocaine_dependence

Data frame with columns<dl class='dl-horizontal'>
<dt>subject</dt><dd>Subject ID</dd>
<dt>diagnosis</dt><dd>Diagnosis status</dd>
<dt>age</dt><dd>Age of Subject</dd>
<dt>male</dt><dd>Gender of subject</dd>
<dt>edu_yrs</dt><dd>Education of subject in years</dd>
<dt>imt_comm_errors</dt><dd>Immediate Memory Task commission errors</dd>
<dt>imt_omis_errors</dt><dd>Immediate Memory Task omission errors</dd>
<dt>a_imt</dt><dd>Immediate Memory Task non-parametric discriminability</dd>
<dt>b_d_imt</dt><dd>Immediate Memory Task response bias</dd>
<dt>stop_ssrt</dt><dd>Stop-Signal Task stop-signal reaction time</dd>
<dt>lnk_adjdd</dt><dd>log(Adjusting Delay-Discounting Task discounting rate)</dd>
<dt>lkhat_kirby</dt><dd>log(Kirby Monetary-Choice Delay-Discounting Questionnaire)</dd>
<dt>revlr_per_errors</dt><dd>Probabilistic Reversal-Learning Task errors</dd>
<dt>bis_attention</dt><dd>Barratt Impulsiveness Scale attentional impulsivity</dd>
<dt>bis_motor</dt><dd>Barratt Impulsiveness Scale motor impulsivity</dd>
<dt>bis_nonpL</dt><dd>Barratt Impulsiveness Scale nonplanning impulsivity</dd>
<dt>igt_total</dt><dd>Iowa Gambling Task total score</dd>
</dl>

Cocaine data.

cocaine_dependence: Cocaine data.

Description

Usage

Arguments

Format

See Also

Examples