envPredictability: Seasonality and colour of environmental noise (deprecated)

In dbarneche/envPred: Calculate Environmental Predictability for Even and Uneven Time Series Data

Description

Calculates seasonality and colour of environmental noise (deprecated). This function will be removed in future versions of the package.

Usage

envPredictability(
  rawTimeSeries,
  datesVector,
  delta,
  isUneven = FALSE,
  interpolate = FALSE,
  checkPlots = FALSE,
  showWarnings = TRUE,
  noiseMethod
)

Arguments

rawTimeSeries	A numeric vector containing a raw environmental time series.
datesVector	An vector of class Date of format YYYY-MM-DD (must be in progressive chronological order).
delta	Time interval (any unit) of rawTimeSeries.
isUneven	Is rawTimeSeries even or unevenly distributed in time? Default is FALSE.
interpolate	Should a linear interpolation be applied to missing values in rawTimeSeries? Irrelevant method if isUneven is FALSE. Default is FALSE.
checkPlots	Deprecated. Use newer gg_envpred instead.
showWarnings	Should cautionary warning messages be displayed? Default is TRUE. Strongly recommended for first time users.
noiseMethod	A method for estimating the slope beta. Takes 2 possible values: 'spectrum' for evenly distributed time series or 'LombScargle' for unevenly distributed ones.

Value

A data.frame.

Author(s)

Diego Barneche and Scott Burgess.

See Also

env_stats.

dbarneche/envPred documentation built on June 28, 2020, 5:04 p.m.