Clean_Spt: Clean_Spt

In HEDA: 'Hydropeaking Events Detection Algorithm'

Description

Clean repeated points

Usage

Clean_Spt(df, alpha3 = 0.7, alpha4 = 0.5)

Arguments

df	Dataframe to be processed
alpha3	Default value: 0.7
alpha4	Default value: 0.5

Details

Evaluate whether the difference in discharge between peaking and off-peaking points is qualified to be identified as hydropeaking events

Value

Output file 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)
hpk_flow_cg <- Clean_position(hpk_flow_cg)

# clean continuous points of the same type
hpk_flow_cg <- Clean_Spt(hpk_flow_cg)

# or change the default values
hpk_flow_cg <- Clean_Spt(hpk_flow_cg, alpha3 = 0.7, alpha4 = 0.5)

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