darwin

The DARWIN (Diagnosis AlzheimeR WIth haNdwriting) dataset
comprises handwriting samples from 174 individuals.
Among them, 89 have been diagnosed with Alzheimer's disease (AD), while the remaining 85 are considered healthy subjects (H).
Each participant completed 25 handwriting tasks on paper, and their pen movements were recorded using a graphic tablet.
From the raw handwriting data, a set of 18 features was extracted.

datasets

Robust covariance estimation for matrix-valued data and data with Kronecker-covariance structure using the Matrix Minimum Covariance Determinant (MMCD) estimators and outlier explanation using and Shapley values.

Marcus Mayrhofer

robustmatrix

Robust Matrix-Variate Parameter Estimation

Una Radojičić

Peter Filzmoser

darwin function

An array of dimension \((p,q,n)\), comprising \(n = 174\) observations,
each represented by a \(p = 18\) times \(q = 25\) dimensional matrix.
The observed parameters are:<ul>
<li>Total Time</li>
<li>Air Time</li>
<li>Paper Time</li>
<li>Mean Speed on paper</li>
<li>Mean Acceleration on paper</li>
<li>Mean Acceleration in air</li>
<li>Mean Jerk on paper</li>
<li>Pressure Mean</li>
<li>Pressure Variance</li>
<li>Generalization of the Mean Relative Tremor (GMRT) on paper</li>
<li>GMTR in air</li>
<li>Mean GMRT</li>
<li>Pendowns Number</li>
<li>Max X Extension</li>
<li>Max Y Extension</li>
<li>Dispersion Index</li>
</ul>

darwin: DARWIN (Diagnosis AlzheimeR WIth haNdwriting)

Description

Usage

Arguments

Format

References