filter_stepwise: Bin and filter light measurements

In sean-rohan/trawllight: Derive apparent optical properties from trawl-mounted light sensors

Bin and filter light measurements

Description

filter_stepwise aggregates light measurements from a single cast into depth bins using a specificed function (e.g. 'median'), removes light measurements using a stepwise algorithm, and assigns data continuity grades based on a threshold criteria.

Usage

filter_stepwise(
  cast.data,
  light.col,
  depth.col,
  id.cols = c("vessel", "cruise", "haul", "updown"),
  bin.size = 2,
  bin.gap = 6,
  agg.fun,
  filter = T,
  ...
)

Arguments

cast.data	Data frame containing light measurements and depth.
bin.size	The size of the depth bin used for aggregation. Default = 2.
bin.gap	The maximum size of data gap before a profile is considered to not meet continuity standards. Units are in units of depth, not the number of bins. Default = 6.
agg.fun	Function used to aggregate light measurements for each depth bin.
...	Additional arguments passed to findInterval function for binning light measurements

Value

Data frame with light by depth bin and continuity grade (1 = Good, -999 = Bad)

Author(s)

Sean Rohan [e-mail]

sean-rohan/trawllight documentation built on Jan. 13, 2023, 10:43 p.m.