make_trend_data: Make trend data from sdmTMB output predict funciton

In pbs-assess/gfranges: Groundfish Ranges

Description

Make trend data from sdmTMB output predict funciton

Usage

make_trend_data(
  data,
  ssid = NULL,
  start_time = NULL,
  end_time = NULL,
  skip_time = NULL,
  input_cell_size = 2,
  scale_fac = 1,
  time_var = "year",
  delta_t_total = 10,
  delta_t_step = 2,
  indices = c(1, 2),
  variable_names = "est"
)

Arguments

data	List of dataframes each containing output from predict.
ssid	Vector of ssid to be included.
start_time	Starting time for VOCC calculation. Default is NULL and all data is used.
end_time	End time for VOCC calculation. Default is NULL and all data is used.
skip_time	Time steps to be excluded. Default is NULL and all data is used.
input_cell_size	Cell size of predict grid.
scale_fac	Factor by which cells are aggregated for VOCC.
time_var	Name of column containing time data.
delta_t_total	Mean time between start and end values.
delta_t_step	Time between each time step in same units as above.
indices	Vector of length equal to number of time steps retained for analysis, where 1 = starting time step(s), 2 = end time step(s).
variable_names	Name(s) of column containing parameter(s).

pbs-assess/gfranges documentation built on Dec. 13, 2021, 4:50 p.m.