calculateMetrics: Calculate regime detection metrics

In TrashBirdEcology/bbsRDM: Calculate regime detection metrics using bird communities

Description

Calculates regime detection metrics across space or time. Calculates distance travelled, Fisher Information, Variance Index, Coefficient of Variation, mean, standard deviation, variance,skewness, and kurtosis. #' @param dataIn A data frame containing columns c(variable, time, value).

Usage

calculateMetrics(dataIn, metrics.to.calc = c("distances", "ews"),
  min.samp.sites = 8, direction, yearInd, to.calc = c("EWS", "FI",
  "VI"))

Arguments

dataIn	data frame with columns: sortVar (the sorting variable; latitude or longitude), cellID (cell ID for the spatial grid), variable (species), value (count data).
metrics.to.calc	One or more of c("distances", "ews")
min.samp.sites	Minimum number of unique sites in the transect (or unique times along the time series) required to analyze the data. Most metrics can be calculated using three data points, although we do not nrecommend this.
direction	Direction of the analysis (South-North or East-West)

TrashBirdEcology/bbsRDM documentation built on July 21, 2019, 2:18 a.m.