prepare_for_autocovariance: Preparing for Autocovariance

In canhakan/canhakan1: Helper Package for Spatio-temporal Time-Series Data

Description

Prepares the Data for lagged(?) autocovariance process. Creates a new dataframe with columns as lag/lead values. (e.g. Lag1, Normal, Lead1)

Usage

prepare_for_autocovariance(data, lags)

Arguments

data	input data
lags	list of wanted lags. Negative values correspond to lags while positives correspond to leads.

Value

data with columns as Lag/Lead

canhakan/canhakan1 documentation built on Dec. 19, 2021, 1:48 p.m.