gams4dts_thin_ts: 'GAMS4DTS' Thinning Methods

In edwardlavender/Tools4ETS: Tools for Ecological Time Series

GAMS4DTS Thinning Methods

Description

This function implements thinning behind the scenes for GAMS4DTS. The function is not intended to be called outside of this environment.

Usage

gams4dts_thin_ts(
  dat,
  id_column = "individual",
  timestamp_column = "timestamp",
  start_event_id_column = "start_event_id",
  start_event_logic_column = "start_event",
  method = c("swa", "sma", "sps"),
  parameters = list(swa = list(time_mins = 60, latitude = 56.41041, longitude = 5.469723,
    covariates = c("sex", "length", "sun_angle", "tidal_height", "lunar_phase",
    "julian_day"), independence_threshold = 720), sps = list(first = c(1, 2), nth = 10),
    sma = list())
)

Arguments

dat	A dataframe to be thinned.
id_column	A character input defining the column name in dat which distinguishes individuals (i.e. "individual").
timestamp_column	A character input defining the column name in dat which contains time stamps (i.e. "timestamp").
start_event_id_column	A character input defining the column name in dat which identifies start events (i.e. "start_event_id").
start_event_logic_column	A character input defining the column name in dat which defines start events with TRUE/FALSE (i.e. "start_event")
method	A character input defining the thinning method to be implemented. Supported options are: "swa", "sma" or "sps".
parameters	A list of parameters that are required to implement thinning depending on the method.

Value

A thinned dataframe.

Author(s)

Edward Lavender

edwardlavender/Tools4ETS documentation built on Nov. 29, 2022, 7:41 a.m.