timeseries.relative.difference: Relative difference of timeseries

In KNMI/Hackathon-RDWD-QualityMonitoring: What the package does (short line)

Description

Calculate the relative difference between two timeseries as 100

Usage

timeseries.relative.difference(timeserie1, timeserie2)

Arguments

timeserie1	timeserie as data.table with first column datetime and second column (average) value. Possible input is AWS_timeserie.
timeserie2	timeserie as data.table with first column datetime and second column (average) value. Possible input is MAN_timeserie.

Details

the input should have certain column names and identical timeseries. If not, the function stops with an error that identifies the problem. #@example input; files <- grab.test.data(); AWS_timeserie <- files$Almelo_664_N_seasonal_precip[,c(1,3)]; Man_timeserie <- files$Enschede_665_N_seasonal_precip[,c(1,3)]; names(AWS_timeserie) <- names(Man_timeserie) <- c("time", "average")

Author(s)

Lotte and Jurian

KNMI/Hackathon-RDWD-QualityMonitoring documentation built on May 23, 2019, 10:33 p.m.