RLdata: Test data for Record Linkage
In cleanzr/dblinkR: R interface for dblink

Description Usage Format Author(s) Source

These tables contain artificial personal data for the evaluation of Record Linkage procedures. Some records have been duplicated with randomly generated errors. RLdata500 contains 50 duplicates, RLdata10000 1000 duplicates.

RLdata500

identity.RLdata500

RLdata10000

identity.RLdata10000

RLdata500 and RLdata10000 are data frames with 500 and 10000 records respectively, and 7 variables:

fname_c1: First name, first component
fname_c2: First name, second component
lname_c1: Last name, first component
lname_c2: Last name, second component
by: Year of birth
bm: Month of birth
bd: Day of birth

identity.RLdata500 and identity.RLdata10000 are vectors representing the true record ids of the two data sets. A pair of records are duplicates, if and only if their corresponding values in the identity vector agree.

An object of class data.frame with 500 rows and 7 columns.

An object of class numeric of length 500.

An object of class data.frame with 10000 rows and 7 columns.

An object of class numeric of length 10000.

Andreas Borg

Generated with the data generation component of Febrl (Freely Extensible Biomedical Record Linkage), version 0.3 https://sourceforge.net/projects/febrl/.

The following data sources were used (all relate to Germany):

http://blog.beliebte-vornamen.de/2009/02/prozentuale-anteile-2008/, a list of the frequencies of the 20 most popular female names in 2008.
http://www.beliebte-vornamen.de/760-alle_jahre.htm, a list of the 100 most popular first names since 1890. The frequencies found in the source above were extrapolated to fit this list.
http://www.ahnenforschung-in-stormarn.de/geneal/nachnamen_100.htm, a list of the 100 most frequent family names with frequencies.
Age distribution as of Dec 31st, 2008, statistics of Statistisches Bundesamt Deutschland, taken from the GENESIS database https://www-genesis.destatis.de/genesis/online/logon.

Web links as of October 2009.

cleanzr/dblinkR documentation built on June 13, 2021, 4:17 a.m.