heinrichi: Heinrichi data set
In stemmatology: Stemmatological Analysis of Textual Traditions

Description Usage Format Details Source References Examples

Data from the artificial textual tradition Heinrichi

1	data(heinrichi)

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

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).

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.

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.