this is an example of the tibble made by callRelatedness()
Format
relatedness_example
A data frame with 15 rows and 13 columns:
- row
The row number
- pair
the pair of individuals that are compared.
- relationship
the highest posterior probability estimate of the degree of relatedness.
- pmr
the pairwise mismatch rate (mismatch/nsnps).
- sd
the estimated standard deviation of the pmr.
- mismatch
the number of sites which did not match for each pair.
- nsnps
the number of overlapping snps that were compared for each pair.
- ave_re
the value for the background relatedness used for normalisation.
- Same_Twins
the posterior probability associated with a same individual/twins classification.
- First_Degree
the posterior probability associated with a first-degree classification.
- Second_Degree
the posterior probability associated with a second-degree classification.
- Unrelated
the posterior probability associated with an unrelated classification.
- BF
A strength of confidence in the Bayes Factor associated with the highest posterior probability classification compared to the 2nd highest.