I didn't merge into your branch yet, because I didn't know if that would screw up something with your code. Have a look at the changes and merge if you want.
This allows you to do the following:
vals <- rcauchy(n = 8, location = 0.5, scale = 0.1) # this must be between 0 and 1
threshold_mat <- cbind(input_fishpop$id, vals)
result <- run_simulation(seafloor = input_seafloor, fishpop = input_fishpop,
parameters = parameters, threshold_mat = threshold_mat, movement = "behav",
max_i = max_i, min_per_i = min_per_i,
seagrass_each = seagrass_each, save_each = save_each)
This would use the created threshold values in the first line. If the argument threshold_mat is not provided, it uses the normal distribution with the mean and sd parameter as before.
P.S. If you merge, please don't delete the original branch. I still need to merge into development as well.
@kmunsterman
I didn't merge into your branch yet, because I didn't know if that would screw up something with your code. Have a look at the changes and merge if you want.
This allows you to do the following:
This would use the created threshold values in the first line. If the argument
threshold_matis not provided, it uses the normal distribution with the mean and sd parameter as before.P.S. If you merge, please don't delete the original branch. I still need to merge into development as well.