View source: R/estimate_time_diploid.R
estimate_time_diploid | R Documentation |
Calculates the time since admixture, given unphased ancestry data.
estimate_time_diploid(
ancestry_information,
analysis_type = "individuals",
phased = FALSE,
pop_size = 1000,
freq_ancestor_1 = 0.5,
lower_lim = 2,
upper_lim = 2000,
num_threads = 1,
verbose = FALSE
)
ancestry_information |
a matrix with five columns: column 1) indicator of individual, column 2) indicator of chromosome, 3) location of marker in Morgan, 4) ancestry at chromosome 5) ancestry at chromosome 2. |
analysis_type |
how should the data be broken down? there are multiple options: "individuals" - time is inferred for each individual separately, grouping all chromosomes together that belong to the same individual. "chromosomes" - time is inferred for each chromosome separately, grouping chromosomes together belonging from separate individuals. "separate" - time is inferred for each chromosome from each individual separately, "all" - time is inferred jointly for all chromosomes and individuals, grouping all chromosomes and individuals together. |
phased |
is the data phased? |
pop_size |
population size |
freq_ancestor_1 |
Frequency of ancestor 1 at t = 0 |
lower_lim |
lower limit of the optimization algorithm. Increase if the expected admixture time is relatively ancient |
upper_lim |
upper limit of hte optimization algorithm. If set too large, recent admixture events can be overlooked - best to set as low as possible. |
num_threads |
num_threads, default is all threads. 5 threads is recommended. |
verbose |
display intermediate output? Default = FALSE |
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