sim_generate_global: This function simulates fully known gamete genotypes given a...

In mccoy-lab/rhapsodi: R haploid sperm/oocyte data imputation

This function simulates fully known gamete genotypes given a specified number of meiotic recombination events

Description

This function runs portions of the generative model to simulate fully known gamete genotypes for a specified number of gametes and number of SNPs as well as a specified number of meiotic recombination events for each gamete

Usage

sim_generate_global(num_gametes, num_snps, n_crossovers, random_seed = 42)

Arguments

num_gametes	an integer, the number of gametes to simulate; also the number of columns -1 of the output
num_snps	an integer, the number of SNPs to simulate; also the number of rows of the output
n_crossovers	a vector of integers, whose length is num_gametes
random_seed	an integer, the random seed which will be set for reproducibility; default is 42

Value

gam_full_df a dataframe of 0's and 1's with num_gametes + 1 columns, and num_snps rows. The first column is the SNP index and has a column name of "positions". The rest of the columns have a name corresponding to which gamete number it is (i.e. "gam101_")

mccoy-lab/rhapsodi documentation built on July 27, 2022, 3:56 a.m.