gen_diploid: Diploid genetics: recombination of alleles
In PROSPER: Simulation of Weed Population Dynamics

Description Usage Arguments Details Value warning See Also Examples

gen_diploid recombines the alleles of weeds with diploid genome.

gen_diploid(
  start,
  start_comb = NA,
  result,
  newseeds = get0("newseeds", envir = parent.frame(n = 1)),
  max_vec_length = 1e+07
)

`start`	column names of parental cohorts. `character vector`.
`start_comb`	all named columns in `start` are joined and returned as a column with the name of `start_comb` (`character`). Only used when `start` longer than 1.
`result`	name of the results column. `character`.
`newseeds`	number of new seeds calculated by `pop_reprod`. `positive` `integer`.
`max_vec_length`	used internally, a technical term, defining the maximum length of vectors to be used.

gen_diploid assumes independent allele recombination.

A column with the name of result and, if necessary, a column with the name of start_comb is added to the data.frame dfgenotype.

newseeds are always coerced to a whole number.

pop_reprod

## Not run: 
# generate a 'dfgenotype' data.frame:
struc_preparation2(Rmx=10, af=c(0.01, 0.2), epis=0, dom=1)
#Distribute 10000 individuals of the starting population across the genotypes. 
#The two gene loci have initial frequencies of 0.01 and 0.8.
gen_freq(af=c(0.01,0.8), n_seeds=10000)
# The column "initialSB" represents the parent generation, which recombines and 
#therefore defines the genetics of the new seeds
newseeds <- 10000
gen_diploid(start="initialSB", result="followingSB")
# If a second cohort is reprodusing in the same time
gen_diploid(start=c("initialSB", "followingSB"), 
                  start_comb="two_cohorts_combind", result="followingSB2")
rm(dfgenotype, mf, newseeds, xprobab)

## End(Not run)