Package 'handwriterApp'

Title: A 'shiny' Application for Handwriting Analysis
Description: Perform statistical writership analysis of scanned handwritten documents with a 'shiny' app for 'handwriter'.
Authors: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Stephanie Reinders [aut, cre]
Maintainer: Stephanie Reinders <[email protected]>
License: GPL (>= 3)
Version: 2.0.0
Built: 2024-11-25 15:14:19 UTC
Source: CRAN

Help Index

Handwriter Application

Description

Lauch a 'shiny' application for 'handwriter'.

Usage

handwriterApp(...)

Arguments

...

Optional arguments passed to shiny::shinyApp

Value

No return value, called to launch 'shiny' app

A Shiny app

Examples

## Not run: 
handwriterApp()

## End(Not run)

Plot Writer Profiles

Description

Create a line plot of cluster fill rates for one or more documents, where the cluster fill rates serve as writer profiles. Each cluster fill rates for each document are plotted as different colored lines.

Usage

plot_writer_profiles(rates)

Arguments

rates

A data frame of cluster fill rates created with get_cluster_fill_rates

Value

A line plot

Examples

plot_writer_profiles(rates)

Cluster Fill Rates

Description

A data frame of cluster fill rates for two handwritten documents: w0004_s01_pLND_r01.png and w0004_s01_pWOZ_r02.png. Both documents are from the CSAFE Handwriting Database.

Usage

rates

Format

A data frame

docname

The file name of the document without the file extension.

total_graphs

The total number of graphs in the document.

cluster1

The proportion of graphs in cluster 1

cluster2

The proportion of graphs in cluster 2

cluster3

The proportion of graphs in cluster 3

cluster4

The proportion of graphs in cluster 4

cluster5

The proportion of graphs in cluster 5

cluster6

The proportion of graphs in cluster 6

cluster7

The proportion of graphs in cluster 7

cluster8

The proportion of graphs in cluster 8

cluster9

The proportion of graphs in cluster 9

cluster10

The proportion of graphs in cluster 10

cluster11

The proportion of graphs in cluster 11

cluster12

The proportion of graphs in cluster 12

cluster13

The proportion of graphs in cluster 13

cluster14

The proportion of graphs in cluster 14

cluster15

The proportion of graphs in cluster 15

cluster16

The proportion of graphs in cluster 16

cluster17

The proportion of graphs in cluster 17

cluster18

The proportion of graphs in cluster 18

cluster19

The proportion of graphs in cluster 19

cluster20

The proportion of graphs in cluster 20

cluster21

The proportion of graphs in cluster 21

cluster22

The proportion of graphs in cluster 22

cluster23

The proportion of graphs in cluster 23

cluster24

The proportion of graphs in cluster 24

cluster25

The proportion of graphs in cluster 25

cluster26

The proportion of graphs in cluster 26

cluster27

The proportion of graphs in cluster 27

cluster28

The proportion of graphs in cluster 28

cluster29

The proportion of graphs in cluster 29

cluster30

The proportion of graphs in cluster 30

cluster31

The proportion of graphs in cluster 31

cluster32

The proportion of graphs in cluster 32

cluster33

The proportion of graphs in cluster 33

cluster34

The proportion of graphs in cluster 34

cluster35

The proportion of graphs in cluster 35

cluster36

The proportion of graphs in cluster 36

cluster37

The proportion of graphs in cluster 37

cluster38

The proportion of graphs in cluster 38

cluster39

The proportion of graphs in cluster 39

cluster40

The proportion of graphs in cluster 40

Details

'handwriter' splits handwriting in the documents into component shapes called graphs. The graphs are sorted into 40 clusters using the cluster template 'templateK40'. The rates data frame shows the proportion of graphs from each document assigned to each cluster. The rates estimate a writer profile for the writer of a document.

Examples

plot_writer_profiles(rates)

Cluster Template with 40 Clusters

Description

A cluster template created by 'handwriter' with K=40 clusters. This template was created from 100 handwriting samples from the CSAFE Handwriting Database. This template is suitable for casework.

Usage

templateK40

Format

A list containing the contents of the cluster template.

centers_seed

An integer for the random number generator use to select the starting cluster centers for the K-Means algorithm.

cluster

A vector of cluster assignments for each graph used to create the cluster template. The clusters are numbered sequentially 1, 2,...,K.

centers

The final cluster centers produced by the K-Means algorithm.

K

The number of clusters in the template.

n

The number of training graphs to used to create the template.

docnames

A vector that lists the training document from which each graph originated.

writers

A vector that lists the writer of each graph.

iters

The maximum number of iterations for the K-means algorithm.

changes

A vector of the number of graphs that changed clusters on each iteration of the K-means algorithm.

outlierCutoff

A vector of the outlier cutoff values calculated on each iteration of the K-means algorithm.

stop_reason

The reason the K-means algorithm terminated.

wcd

The within cluster distances on the final iteration of the K-means algorithm. More specifically, the distance between each graph and the center of the cluster to which it was assigned on each iteration. The output of 'handwriter::make_clustering_template' stores the within cluster distances on each iteration, but the previous iterations were removed here to reduce the file size.

wcss

A vector of the within-cluster sum of squares on each iteration of the K-means algorithm.

Details

'handwriter' splits handwriting samples into component shapes called graphs. The graphs are sorted into 40 clusters with a K-Means algorithm. See 'handwriter' for more details.

Examples

# view number of clusters
templateK40$K

# view number of iterations
templateK40$iters

# view cluster centers
templateK40$centers