edas.datavalidation.api.timeinterval: EDAS Data Validation Method - Time Intervals 데이터 수집 주기...

In jinlee86/bems_analysisr_package: EDAS System R Package

Description

EDAS Data Validation Method - Time Intervals 데이터 수집 주기 추출 데이터의 시간 컬럼(datetimeColumn) 값을 기준으로 주기를 계산 그룹 컬럼(groupByColumn) 값이 주여졌을 경우 groupByColumn 값 기준으로 데이터를 나눈후 주기를 계산

Usage

edas.datavalidation.api.timeinterval(dataset, dateTimeColumn = "DateTime",
  groupByColumn = NA)

Arguments

dataset	DataFrame
dateTimeColumn	DateTime Column (requires POSIXCT Type)
groupByColumn	Group by Column (Optional)

Value

units - time interval unit stats - descriptive statistics of the estimated time intervals of the dataset or the groups dataset - the dataset with the evaluated time intervals, which is added as "Interval"

See Also

Other EDAS: EDAS.DB.API-class, describe.table, edas.datapreprocessing.daytype, edas.db.api.query, edas.db, edas.newModel, edas.validate, get.table.sample

Examples

edas.datavalidation.api.timeinterval(df,"DateTime")
edas.datavalidation.api.timeinterval(df,"DateTime", "ID")

dataset <- data.frame("DateTime"=seq(ISOdate(1910,1,1), ISOdate(1999,1,1), length.out=10),
"ID"=letters[seq(from = 1, to =10)])
edas.datavalidation.api.timeinterval(dataset, "DateTime")


dataset2 <- data.frame("DateTime"=seq(ISOdate(1911,1,1), ISOdate(2000,1,1), length.out=10),
                      "ID"=letters[seq(from = 1, to =10)])
                      mergedDF <- rbind(dataset, dataset2)
                      edas.datavalidation.api.timeinterval(mergedDF, "DateTime", "ID")

jinlee86/bems_analysisr_package documentation built on May 14, 2019, 8:34 a.m.