MannKendallc: Mann-Kendall Test Corrected
In patauchi/biogeoTools: Tools for Biogeographic Analyses
MannKendallc R Documentation
Mann-Kendall Test Corrected
Description
Time series data is often influenced by serial-correlation.
When data is not random and influenced by auto-correlation,
Modified Mann-Kendall tests are to be used in trend detection.
Yue and Wang (2004) have proposed variance correction approach to address the issue of serial correlation in Trend analysis.
Trend is removed from the series and effective sample size is calulated using significant serial correlation coefficients.
Usage
MannKendallc(x)
Arguments
x
Time series data vector.
Value
Returns the geographical weights distance among environmental layers or variables.
References
Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13(3), 245–259. http://doi.org/10.1017/CBO9781107415324.00
Kendall, M. (1975). Multivariate analysis. Charles Griffin. Londres. 0-85264-234-2.
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall’s Tau. Journal of the American Statistical Association, 63(324), 1379. http://doi.org/10.2307/2285891
Yue, S., & Wang, C. Y. (2004). The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resources Management, 18(3), 201–218. http://doi.org/10.1023/B:WARM.0000043140.61082.60
patauchi/biogeoTools documentation built on April 25, 2022, 6:53 p.m.
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.
| MannKendallc | R Documentation |
Mann-Kendall Test Corrected
Description
Time series data is often influenced by serial-correlation. When data is not random and influenced by auto-correlation, Modified Mann-Kendall tests are to be used in trend detection. Yue and Wang (2004) have proposed variance correction approach to address the issue of serial correlation in Trend analysis. Trend is removed from the series and effective sample size is calulated using significant serial correlation coefficients.
Usage
MannKendallc(x)
Arguments
x |
Time series data vector. |
Value
Returns the geographical weights distance among environmental layers or variables.
References
Mann, H. B. (1945). Nonparametric Tests Against Trend. Econometrica, 13(3), 245–259. http://doi.org/10.1017/CBO9781107415324.00
Kendall, M. (1975). Multivariate analysis. Charles Griffin. Londres. 0-85264-234-2.
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall’s Tau. Journal of the American Statistical Association, 63(324), 1379. http://doi.org/10.2307/2285891
Yue, S., & Wang, C. Y. (2004). The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resources Management, 18(3), 201–218. http://doi.org/10.1023/B:WARM.0000043140.61082.60
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.