| lifem {pldamixture} | R Documentation |
LIFE-M Data
Description
The lifem data set contains a subset of data from the Life-M project (https://life-m.org/) on 3,238 individuals born between 1883
to 1906. These records were obtained from linking birth certificates and death certificates either of two
ways. A fraction of the records (2,159 records) were randomly sampled to be “hand-linked at some level” (HL).
These records are high quality and were manually linked at some point by trained research assistants.
The remaining records were “purely machine-linked” (ML) based on probabilistic record linkage without clerical
review. The Life-M team expects the mismatch rate among these records to be around 5% (Bailey et al.
2022). Of interest is the relationship between age at death and year of birth. The lifem demo data set consists of 2,159 hand-linked records
and 1,079 records that were randomly sampled from the purely machine-linked records (~2:1 HL-ML ratio).
Usage
data(lifem)
Format
a data frame with 3,238 rows and 6 variables
Details
yob: year of birth (value from 1883 and 1906)
unit_yob: yob re-scaled to the unit interval for analysis (between 0 and 1). If X is the yob, we use the following: (X – min(X)) / (max(X) – min(X)) = a * X + b, a = 1/(max(X) – min(X)), b = -min(X)*a
age_at_death: age at death (in years)
hndlnk: whether record was purely machine-linked or hand-linked at some level.
commf: commonness score of first name (between 0 and 1). It is based on the 1940 census. It is a ratio of the log count of the individual’s first name over the log count of the most commonly occurring first name in the census.
comml: commonness score of last name (between 0 and 1). It is based on the 1940 census. It is a ratio of the log count of the individual’s last name over the log count of the most commonly occurring last name in the census.
References
Bailey, Martha J., Lin, Peter Z., Mohammed, A.R. Shariq, Mohnen, Paul, Murray, Jared, Zhang, Mengying, and Prettyman, Alexa. LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database. Ann Arbor, MI: Inter-university Consortium for Political and Social Research (distributor), 2022-12-21. < doi:10.3886/E155186V5 >