get_lag: Get timelag

In gauseR: Lotka-Volterra Models for Gause's 'Struggle for Existence'

Get timelag

Description

Calculates time-lagged observations for variable x, separated by treatment.

Usage

get_lag(x, time, tau = 1, treatment = NULL, mindt = 0, maxdt = Inf)

Arguments

x	The time series from which time lagged observations are desired (e.g. population sizes)
time	The time steps corresponding to each observation
tau	Number of time steps to use between lagged components - defaults to 1
treatment	An optional vector of treatment conditions - time lags will only be computed separately within treatments - defaults to NULL (i.e. no treatments)
mindt	Minimum dt allowed between observations - defaults to 0
maxdt	Maximum dt allowed between observations - defaults to Inf

Value

Returns a data.frame with 7 columns: x (unlagged time series data); laggedx (lagged time series data); xmid (average of time series and lagged time series values); dt (time lag between x and laggedx); time (time for observation x); laggedtime (time for observation laggedx); treatment (treatment for observation)

Examples

data(gause_1934_science_f02_03)
lagged_data <- get_lag(x=gause_1934_science_f02_03$Volume_Species1,
               time = gause_1934_science_f02_03$Day,
               treatment = gause_1934_science_f02_03$Treatment)

gauseR documentation built on Oct. 23, 2023, 1:08 a.m.