| msprime_sim | R Documentation | 
This function generates an msprime simulation script, and optionally executes it in python. Unlike the msprime_genome function, this function simulates independent SNP sites.
msprime_sim(
  graph,
  outpref = "msprime_sim",
  nsnps = 1000,
  neff = 1000,
  ind_per_pop = 1,
  mutation_rate = 0.001,
  time = 1000,
  fix_leaf = FALSE,
  admix_default = 0.5,
  run = FALSE,
  numcores = NULL,
  ghost_lineages = FALSE,
  shorten_admixed_leaves = FALSE
)
graph | 
 A graph as an   | 
outpref | 
 A prefix of output files.  | 
nsnps | 
 The number of SNPs to simulate. All SNPs will be simulated independently of each other.  | 
neff | 
 Effective population size (in diploid individuals). If a scalar value, it will be constant across all populations. Alternatively, it can be a named vector with a different value for each population (e.g.,   | 
ind_per_pop | 
 The number of diploid individuals to simulate for each population. If a scalar value, it will be constant across all populations.
Alternatively, it can be a named vector with a different value for each population (e.g.,   | 
mutation_rate | 
 Mutation rate per site per generation. The default is set to a high value (0.001 per site per generation) to obtain more polymorphic SNPs in order to speed up the simulation.  | 
time | 
 Either a scalar value (1000 generations by default) with the dates generated by   | 
fix_leaf | 
 A boolean value specifying if the dates  of the leaf nodes will be fixed at time 0. If   | 
admix_default | 
 A float value specifying default admixture proportion for all admixture nodes. The default is   | 
run | 
 If   | 
numcores | 
 The number of cores to use when simulating data.  | 
ghost_lineages | 
 A boolean value specifying whether ghost lineages will be allowed.
If   | 
shorten_admixed_leaves | 
 If   | 
The file name and path of the simulation script
## Not run: 
results = qpgraph(example_f2_blocks, example_graph)
msprime_sim(results$edges, nsnps=100)
## End(Not run)
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