rolling_autoc: Rolling autocorrelation
In rshift: Paleoecology Functions for Regime Shift Analysis
View source: R/rolling_autoc.R
rolling_autoc R Documentation
Rolling autocorrelation
Description
finds lag-1 autocorrelation in a rolling window; can be used to predict resilience (Liu, Gao, & Wang, 2018)
Usage
rolling_autoc(data, col, l)
Arguments
data
The dataframe that will be used.
col
The column we are measuring change on.
l
The time interval (no. of columns) used in the autocorrelation.
Value
A table of rolling lag-1 autocorrelation values.
rshift documentation built on April 12, 2025, 1:20 a.m.
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View source: R/rolling_autoc.R
| rolling_autoc | R Documentation |
Rolling autocorrelation
Description
finds lag-1 autocorrelation in a rolling window; can be used to predict resilience (Liu, Gao, & Wang, 2018)
Usage
rolling_autoc(data, col, l)
Arguments
data |
The dataframe that will be used. |
col |
The column we are measuring change on. |
l |
The time interval (no. of columns) used in the autocorrelation. |
Value
A table of rolling lag-1 autocorrelation values.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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