nanprewhite.AR: Compute AR1 prior to prewhite
In mannkendall/R: MannKendall trends for geophysical time series
Description
Usage
Arguments
Value
Author(s)
References
View source: R/nanprewhite_AR.R
Description
Define the first lag autocorrelation coefficient to prewhite the data as an AR(Kmax) function
Usage
1
nanprewhite.AR(data, alpha.ak = 95)
Arguments
data
vector to be analysed
alpha.ak
statistical significance in percentage for the first lag autocorrelation (default is 95)
Value
ak.lag fist lag autocorrelation coefficient
data.prewhite data after removing of the first lag autorcorrelation; if ak.lag is statistically significant, original data otherwise
ak.ss statistical significance of the first lag autocorrelation: alpha.ak is the statistical significance at the alpha.ak level, zero otherwise
Author(s)
Martine Collaud Coen (martine.collaud@meteoswiss.ch), MeteoSwiss (CH) and Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT)
References
Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.
mannkendall/R documentation built on Feb. 2, 2022, 7:31 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/nanprewhite_AR.R
Description
Define the first lag autocorrelation coefficient to prewhite the data as an AR(Kmax) function
Usage
1 | nanprewhite.AR(data, alpha.ak = 95)
|
Arguments
data |
vector to be analysed |
alpha.ak |
statistical significance in percentage for the first lag autocorrelation (default is 95) |
Value
ak.lag fist lag autocorrelation coefficient
data.prewhite data after removing of the first lag autorcorrelation; if ak.lag is statistically significant, original data otherwise
ak.ss statistical significance of the first lag autocorrelation: alpha.ak is the statistical significance at the alpha.ak level, zero otherwise
Author(s)
Martine Collaud Coen (martine.collaud@meteoswiss.ch), MeteoSwiss (CH) and Alessandro Bigi (abigi@unimore.it), University of Modena and Reggio Emilia (IT)
References
Collaud Coen, M., Andrews, E., Bigi, A., Romanens, G., Martucci, G., and Vuilleumier, L.: Effects of the prewhitening method, the time granularity and the time segmentation on the Mann-Kendall trend detection and the associated Sen's slope, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2020-178, 2020.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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