Lasker {Malmig}R Documentation

Calculates the Lasker kinship coeffcient

Description

``Lasker''calculates the Lasker kinship coefficient starting from isonymy data.

Usage

Lasker(x)

Arguments

x is a matrix where the N rows correspond to the surnames present in the whole population and the M columns are the subpopulations

Details

The use of ``Lasker'' could be problematic, because different people are likely to arrange isonymy data in different ways on their computers. We decided for a matrix format for the isonymy data; the function would originally accept data in a different format and then convert it internally, but this would be a problem for people with data arranged in a different format. In the end we decided to leave all data arrangement outside the function and write a verbose explanation in the info for the dataset "surnames" so it would be clear for the user how ``Lasker'' works.

Value

Returns a square symmetric kinship matrix.

Note

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Author(s)

Federico C. F. Calboli and Alessio Boattini alessio.boattini2@unibo.it

References

Lasker, G.W. 1977. A coefficient of relationship by isonymy: A method for estimating the genetic relationship between populations. Hum. Biol. 49:489-493.

See Also

Phi for the Malecot kinship model, surnames for an explanation on how to generate the correct input dataframe

Examples

data(surnames)
surnames #a made-up dateset

# you can see that the surnames are arranged as the _rows_ and the populations are the _columns_
# the use of the function ``Lasker'' just turns this data into a kinship matrix

lask.kin <- Lasker(surnames)
lask.kin

[Package Malmig version 0.3 Index]