modifiedmk (version 1.1.0)

spear: Spearman's Rank Correlation Test

Description

Spearman's Rank Correlation test by Sneyers (1990) is an useful in detecting trends.

Usage

spear(x)

Arguments

x

- Time series data vector

Value

Correlation coefficient - Spearman's Correlation coefficient value

Z-Tranformed Test Statistic value - Z-Transform value to test significance (Rho*(sqrt(n-1)))

References

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<U+2013>218.<doi:10.1023/B:WARM.0000043140.61082.60>.

Examples

# NOT RUN {
x<-c(Nile)
spear(x)

# }