pop_step {PROSPER} | R Documentation |
Surviving a non-selective process
Description
pop_step
picks the individuals that will pass to the next development stage. This is a random process for every individual, which does not exert any selection pressure.
Usage
pop_step(
start,
start_comb = NA,
result = NA,
stepname = NA,
surv_prob,
max_vec_length = 1e+07
)
Arguments
start |
column names of parental cohorts. |
start_comb |
all named columns in |
result |
name of the results column. |
stepname |
name of the new column of dfgenotype added by this function. |
surv_prob |
probability to survive this step and reach the next growth stage. |
max_vec_length |
used internally, a technical term, defining the maximum length of vectors to be used. |
Details
Individuals that reach the next growth stage are picked by using rbinom
. In contrast to sel_herb
, pop_step
does not exert any evolutionary selection pressure.
When more than one column is selected with start
, they are summed and the result is passed to the picking process. By setting start_comb
the sum is added as a column to dfgenotype
.
Value
A new column is added to dfgenotype
containing the surviving individuals of the different genotypes.
See Also
Examples
struc_preparation2(Rmx=10, af=c(0.01,0.8), epis=0, dom=1)
gen_freq(af=c(0.01,0.8), n_seeds=10000)
#How many individuals of each genotype will reach the next growth stage?
pop_step(start="initialSB", stepname="survivingthewinter",
surv_prob=0.4)