participant.scores

Made-up experiment data with 10 participants and two diagnoses.
Test scores for 3 sessions per participant, where participants improve their scores each session.

data

Cross-validate one or multiple regression and classification models
and get relevant evaluation metrics in a tidy format. Validate the
best model on a test set and compare it to a baseline evaluation.
Alternatively, evaluate predictions from an external model. Currently
supports regression and classification (binary and multiclass).
Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R.,
& Wambugu M. (2019, ISBN: 9781838550134).

Ludvig Renbo Olsen

cvms

Cross-Validation for Model Selection

participant.scores function

A <code>data.frame</code> with <code>30</code> rows and <code>5</code> variables:<dl>
 <dt>participant</dt>
<dd>participant identifier, 10 levels</dd> <dt>age</dt>
<dd>age of the participant, in years</dd> <dt>diagnosis</dt>
<dd>diagnosis of the participant, either 1 or 0</dd> <dt>score</dt>
<dd>test score of the participant, on a 0-100 scale</dd> <dt>session</dt>
<dd>testing session identifier, 1 to 3</dd>
</dl>

Format

Ludvig Renbo Olsen, <a href="/link/r-pkgs%40ludvigolsen.dk?package=cvms&version=1.7.0" data-mini-rdoc="cvms::r-pkgs@ludvigolsen.dk">r-pkgs@ludvigolsen.dk</a>

Author

Participant scores — participant.scores

A <code>data.frame</code> with <code>30</code> rows and <code>5</code> variables:<dl>
 <dt>participant</dt>
<dd>participant identifier, 10 levels</dd>

 <dt>age</dt>
<dd>age of the participant, in years</dd>

 <dt>diagnosis</dt>
<dd>diagnosis of the participant, either 1 or 0</dd>

 <dt>score</dt>
<dd>test score of the participant, on a 0-100 scale</dd>

 <dt>session</dt>
<dd>testing session identifier, 1 to 3</dd>


</dl>

Ludvig Renbo Olsen, <a href='mailto:r-pkgs@ludvigolsen.dk'>r-pkgs@ludvigolsen.dk</a>

participant.scores: Participant scores

Description

Arguments

Format

Author