gauseR (version 1.2)

get_lag: 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)

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)

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

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)