innovtrend: Innovative Trend Analysis

In trendchange: Innovative Trend Analysis and Time-Series Change Point Analysis

Description

Innovative trend analysis method proposed by Zekai Sen (2011) is implemented in this function.

Usage

innovtrend(x,ci = 95)

Arguments

x	- Time series data vector
ci	- Confidence Interval

Details

If the data points lay on 1:1 line, there is no trend in the data. If the data points exist in the top triangle, it is indicative of positive trend. If the data lies in the bottom triangle, it indicates negative trend in the data.

Value

S - Slope of the trend ssd - Slope Standard deviation correl - Correlation D - Trend indicator CLlower90 - Lower Cofidence Limit at 90 percent CLupper90 - Uppler Cofidence Limit at 90 percent CLlower95 - Lower Cofidence Limit at 95 percent CLupper95 - Uppler Cofidence Limit at 95 percent CLlower99 - Lower Cofidence Limit at 99 percent CLupper99 - Uppler Cofidence Limit at 99 percent

References

Şen Z (2011) Innovative Trend Analysis Methodology. J Hydrol Eng 17:1042–1046. <doi: 10.1061/(ASCE)HE.1943-5584.0000556>.

Examples

x<-c(Nile)
innovtrend(x,ci= 95)

trendchange documentation built on Jan. 8, 2022, 5:07 p.m.