coala (version 0.7.2)

sumstat_tajimas_d: Summary Statistic: Tajima's D

Description

This statistic calculates Tajima's D from the simulation results when added to a model. Tajima's D primarily measures an deviation of singletons from the neutral expectation of an equilibrium model. Negative values indicate an excess of singletons, while positive values code a depletion of them.

Usage

sumstat_tajimas_d(
  name = "tajimas_d",
  population = "all",
  transformation = identity
)

Value

On simulation, this returns a vector with the value of Tajima's D for each locus.

Arguments

name

The name of the summary statistic. When simulating a model, the value of the statistics are written to an entry of the returned list with this name. Summary statistic names must be unique in a model.

population

The population for which the statistic is calculated. Can also be "all" to calculate it from all populations. Default is population 1.

transformation

An optional function for transforming the results of the statistic. If specified, the results of the transformation are returned instead of the original values.

References

Tajima, F. (1989). "Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.". Genetics 123 (3): 585-95.

See Also

To create a demographic model: coal_model

To calculate this statistic from data: calc_sumstats_from_data

Other summary statistics: sumstat_dna(), sumstat_file(), sumstat_four_gamete(), sumstat_ihh(), sumstat_jsfs(), sumstat_mcmf(), sumstat_nucleotide_div(), sumstat_omega(), sumstat_seg_sites(), sumstat_sfs(), sumstat_trees()

Examples

# A neutral model that should yield values close to zero:
model <- coal_model(5, 2) +
  feat_mutation(20) +
  feat_recombination(10) +
  sumstat_tajimas_d("taji_d")
stats <- simulate(model)
print(stats$taji_d)