Clean_position: Clean_position

In HEDA: 'Hydropeaking Events Detection Algorithm'

Description

Change points are excluded if they are in the wrong position. For example, both point 3 and the peak pair represent the peaking discharge whose value (position) should be close to the daily maximum discharge. If the peaking discharge is close to the daily minimum discharge, change points will be removed since they are in the wrong positions

Usage

Clean_position(df, alpha2 = 0.3)

Arguments

df	dataframe to be processed
alpha2	Default value : 0.3

Value

output will be a dataframe in the same form as the input

Examples

# before running the function
HPK_SampleData$dateTime <- parse_date_time(HPK_SampleData$dateTime,"mdy HM")

hpk_flow_cln <- HEDA_Tidy(HPK_SampleData, season = c(6,7,8,9))

hpk_flow_cg <- ReversalCount(hpk_flow_cln)

# running the function to clean unqualified change points
hpk_flow_cg <- Clean_position(hpk_flow_cg)

# default value is open to change
hpk_flow_cg <- Clean_position(hpk_flow_cg, alpha2 = 0.3)

HEDA documentation built on July 21, 2021, 1:06 a.m.