genHD

Generates a data frame with the pairwise distances between trajectories

internal

Estimates the intraclass correlation coefficient for trajectory data using a matrix of distances between trajectories. The distances implemented are the extended Hausdorff distances (Min et al. 2007) <doi:10.1080/13658810601073315> and the discrete Fréchet distance (Magdy et al. 2015) <doi:10.1109/IntelCIS.2015.7397286>.

Josep Carrasco

iccTraj

Estimates the Intraclass Correlation Coefficient for Trajectory
Data

Josep L. Carrasco

genHD function

<dl><dt>data_list</dt>
<dd>A list created with <code>"tr_gen"</code> function</dd>
<dt>parallel</dt>
<dd>TRUE/FALSE value. Use parallel computation? Default value is TRUE.</dd>
<dt>distance</dt>
<dd>Metric used to compute the distances between trajectories. Options are **H** for median Hausforff distance, and **F** for discrete Fréchet distance.</dd>
<dt>q</dt>
<dd>Quantile for the extended Hausdorff distance. Default value q=0.5 leads to median Hausdorff distance.</dd></dl>

Arguments

Generates a data frame with the pairwise distances between trajectories — genHD

<dl>

<dt>data_list</dt>
<dd>A list created with <code>"tr_gen"</code> function</dd>


<dt>parallel</dt>
<dd>TRUE/FALSE value. Use parallel computation? Default value is TRUE.</dd>


<dt>distance</dt>
<dd>Metric used to compute the distances between trajectories. Options are **H** for median Hausforff distance, and **F** for discrete Fréchet distance.</dd>


<dt>q</dt>
<dd>Quantile for the extended Hausdorff distance. Default value q=0.5 leads to median Hausdorff distance.</dd>

</dl>

genHD: Generates a data frame with the pairwise distances between trajectories

Description

Usage

Value

Arguments