check_tcol

Takes a column name, and checks its use as generation numbers.
It should name a numeric vector, with values &gt;= 0.

Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load.
In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included.
See López-Cortegano E. (2021) <doi:10.1093/bioinformatics/btab599>.

Eugenio L<c3><b3>pez-Cortegano

purgeR

Inbreeding-Purging Estimation in Pedigreed Populations

Eugenio López-Cortegano

check_tcol function

<dl><dt>ped</dt>
<dd>A dataframe containing the pedigree. Individual (id), maternal (dam), and paternal (sire) identities are mandatory columns.</dd>
<dt>tcol</dt>
<dd>Name of column with individual generation times. If none is used, the number of equivalent complete generations is computed.</dd>
<dt>compute</dt>
<dd>Compute generation numbers if tcol is NULL</dd>
<dt>force_int</dt>
<dd>Generation numbers must be integers (disabled by default)</dd></dl>

Arguments

Check columns with generation numbers — check_tcol

<dl>

<dt>ped</dt>
<dd>A dataframe containing the pedigree. Individual (id), maternal (dam), and paternal (sire) identities are mandatory columns.</dd>


<dt>tcol</dt>
<dd>Name of column with individual generation times. If none is used, the number of equivalent complete generations is computed.</dd>


<dt>compute</dt>
<dd>Compute generation numbers if tcol is NULL</dd>


<dt>force_int</dt>
<dd>Generation numbers must be integers (disabled by default)</dd>

</dl>

check_tcol: Check columns with generation numbers

Description

Usage

Value

Arguments