nanautocorr: Autocorrelation function
In mannkendall/R: MannKendall trends for geophysical time series
Description
Usage
Arguments
Details
Value
Author(s)
Description
'nanautocorr' computes autocorrelation coefficient dealing with missing values
Usage
1
nanautocorr(data, nlags, R)
Arguments
data
vector of time series
nlags
maximum number of lags in the computation of ACF
R
number of lags until the model is supposed to have a significant AC coefficient (optional)
Details
Calculates the 'nlag' autocorrelation coefficient for a data vector containing missing values
couples of data including 'NA' are excluded from the computation.
Here the ACF is calculated using the Pearson\'s correlation coefficient for each lag.
Value
out vector of the ACF
Author(s)
Fabio Oriani, fabio.oriani@unine.ch, University of Neuchatel (CH) original author; Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT) for the R version
mannkendall/R documentation built on Feb. 2, 2022, 7:31 p.m.
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Description Usage Arguments Details Value Author(s)
Description
'nanautocorr' computes autocorrelation coefficient dealing with missing values
Usage
1 | nanautocorr(data, nlags, R)
|
Arguments
data |
vector of time series |
nlags |
maximum number of lags in the computation of ACF |
R |
number of lags until the model is supposed to have a significant AC coefficient (optional) |
Details
Calculates the 'nlag' autocorrelation coefficient for a data vector containing missing values couples of data including 'NA' are excluded from the computation. Here the ACF is calculated using the Pearson\'s correlation coefficient for each lag.
Value
out vector of the ACF
Author(s)
Fabio Oriani, fabio.oriani@unine.ch, University of Neuchatel (CH) original author; Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT) for the R version
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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