fuzzygenet {ade4}R Documentation

Reading a table of genetic data (diploid individuals)

Description

Reads data like char2genet without a priori population

Usage

fuzzygenet(X)

Arguments

X

a data frame of strings of characters (individuals in row, locus in variables), the value coded '000000' or two alleles of 6 characters

Details

In entry, a row is an individual, a variable is a locus and a value is a string of characters, for example, 012028 for a heterozygote carying alleles 012 and 028; 020020 for a homozygote carrying two alleles 020 and 000000 for a not classified locus (missing data).

In exit, a fuzzy array with the following encoding for a locus:
0 0 1 ... 0 for a homozygote
0 0.5 0.5 ... 0 for a heterozygote
p1 p2 p3 ... pm for an unknown where (p1 p2 p3 ... pm) is the observed allelic frequencies for all tha available data.

Value

returns a data frame with the 6 following attributs:

col.blocks

a vector containing the number of alleles by locus

all.names

a vector containing the names of alleles

loc.names

a vector containing the names of locus

row.w

a vector containing the uniform weighting of rows

col.freq

a vector containing the global allelic frequencies

col.num

a factor ranking the alleles by locus

Note

In the exit data frame, the alleles are numbered 1, 2, 3, ... by locus and the loci are called L01, L02, L03, ... for the simplification of listing. The original names are kept.

Author(s)

Daniel Chessel

References

~put references to the literature/web site here ~

See Also

char2genet if you have the a priori definition of the groups of individuals (populations). It may be used on the created object dudi.fca

Examples

data(casitas)
casitas[1:5, ]
casitas <- fuzzygenet(casitas)
attributes(casitas)
rm(casitas)

[Package ade4 version 1.7-4 Index]