example_analysis

datasets

Perform statistical writership analysis of scanned handwritten documents.
Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.

Stephanie Reinders

handwriter

Handwriting Analysis in R

Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence 

Nick Berry

James Taylor

Felix Baez-Santiago

Jon González

example_analysis function

The results of <code>analyze_questioned_documents()</code> stored in a named list with 5 items:<dl>
<dt>graph_measurements</dt>
<dd>A data frame of that shows the writer, document name, cluster assignment,
slope, principle component rotation angle, and wrapped principle component rotation angle for each training graph in each
questioned documents.</dd><dt>cluster_fill_counts</dt>
<dd>A data frame of the cluster fill counts for each questioned document.</dd><dt>likelihoods</dt>
<dd>A list of data frames where each data frame
contains the likelihoods for a questioned document for each MCMC iteration.</dd><dt>votes</dt>
<dd>A list of vote tallies for each questioned document.</dd><dt>posterior_probabilites</dt>
<dd>A list of posterior probabilities of writership
for each questioned document and each known writer in the closed set used to train the
hierarchical model.</dd>
</dl>

Format

Example of writership analysis — example_analysis

The results of <code>analyze_questioned_documents()</code> stored in a named list with 5 items:<dl>
<dt>graph_measurements</dt>
<dd>A data frame of that shows the writer, document name, cluster assignment,
slope, principle component rotation angle, and wrapped principle component rotation angle for each training graph in each
questioned documents.</dd>

<dt>cluster_fill_counts</dt>
<dd>A data frame of the cluster fill counts for each questioned document.</dd>

<dt>likelihoods</dt>
<dd>A list of data frames where each data frame
contains the likelihoods for a questioned document for each MCMC iteration.</dd>

<dt>votes</dt>
<dd>A list of vote tallies for each questioned document.</dd>

<dt>posterior_probabilites</dt>
<dd>A list of posterior probabilities of writership
for each questioned document and each known writer in the closed set used to train the
hierarchical model.</dd>


</dl>

Example of writership analysis

example_analysis: Example of writership analysis

Description

Usage

Arguments

Format

Examples