heinrichi {stemmatology}

Heinrichi data set

Description

Data from the artificial textual tradition Heinrichi

Usage

data(heinrichi)

Format

A matrix with 1208 observations on the following 37 variables.

A

a numeric vector

Ab

a numeric vector

Ac

a numeric vector

Ad

a numeric vector

Ae

a numeric vector

B

a numeric vector

Ba

a numeric vector

Bb

a numeric vector

Bd

a numeric vector

Be

a numeric vector

C

a numeric vector

Ca

a numeric vector

Cb

a numeric vector

Cc

a numeric vector

Cd

a numeric vector

Ce

a numeric vector

Cf

a numeric vector

Da

a numeric vector

E

a numeric vector

F

a numeric vector

G

a numeric vector

H

a numeric vector

I

a numeric vector

J

a numeric vector

K

a numeric vector

L

a numeric vector

M

a numeric vector

N

a numeric vector

O

a numeric vector

P

a numeric vector

R

a numeric vector

S

a numeric vector

T

a numeric vector

V

a numeric vector

W

a numeric vector

X

a numeric vector

Z

a numeric vector

Details

The data comes from an artificial tradition, created under controlled circumstances. The data is presented here as used in Camps & Cafiero 2015, without further modifications or corrections. Readings have been converted to numeric codes (0 being omission, and NA an absence of value).

Source

Roos, Teemu, and Tuomas Heikkilä. ‘Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets’. Literary and Linguistic Computing 24/4 (2009), p. 417–433.

Roos, Teemu, Tuomas Heikkilä, and Petri Myllymäki. ‘Computer-Assisted Stemmatology Challenge’. Helsinki, 2007, https://www.cs.helsinki.fi/u/ttonteri/casc/data.html.

References

Camps, Jean-Baptiste, and Florian Cafiero. ‘Genealogical Variant Locations and Simplified Stemma: A Test Case’. Analysis of Ancient and Medieval Texts and Manuscripts: Digital Approaches, edited by Tara Andrews and Caroline Macé, Brepols, 2015, pp. 69–93, https://halshs.archives-ouvertes.fr/halshs-01435633, DOI: 10.1484/M.LECTIO-EB.5.102565.

Examples

data(heinrichi)