sim_selection_weights {ARUtools} | R Documentation |
Create parameters and simulate selection weights
Description
This function creates and explores parameters for generating selections.
These parameters define the selection distribution of minutes (min
) around
the sun event (sunrise/sunset), as well as of days (day
).
Usage
sim_selection_weights(
min_range = c(-70, 240),
min_mean = 30,
min_sd = 60,
day_range = c(120, 201),
day_mean = 161,
day_sd = 20,
offset = 0,
return_log = TRUE,
selection_fun = "norm",
selection_var = "psel_normalized",
return_params = TRUE,
plot = TRUE
)
Arguments
min_range |
Numeric vector. Range of the sampling distribution of minutes around the sun event. |
min_mean |
Numeric. Mean of the sampling distribution of minutes to the sun event. |
min_sd |
Numeric. SD in minutes of the sampling distribution of minutes around the sun event. |
day_range |
Date/Datetime/Numeric vector. Range of sampling distribution of days. Can be Dates, Date-times, or DOY (day-of-year, 1-366). |
day_mean |
Date/Datetime/Numeric. Mean date of the sampling distribution of days. Can be Date, Date-time, or DOY (day-of-year, 1-366). |
day_sd |
Numeric. SD in days of the sampling distribution of days. |
offset |
Numeric. Offset to shift for time of day in minutes. |
return_log |
Logical. Log the density in the selection function? |
selection_fun |
Character. Selection function to use. Options are
|
selection_var |
Character. Selection variable to plot
(if |
return_params |
Logical. Return parameter list for use in calc_selection_weights()? |
plot |
Logical. Create plot of simulated selection weights? If
|
Value
Returns either a list of selection parameters or a plot of simulated selection weights
Examples
params <- sim_selection_weights()