Overview

Installation

# Release stable version from CRANinstall.packages("REddyProc")# The development version from GitHub using devtools:# install.packages("devtools")devtools::install_github("EarthyScience/REddyProc")

install.packages("tidyverse")update.packages(oldPkgs="dplyr")

Usage

library(REddyProc)#+++ Input data from csv (example needs to be downloaded)examplePath<- getExamplePath('Example_DETha98.txt',isTryDownload=TRUE)if (length(examplePath)) {EddyData<- fLoadTXTIntoDataframe(examplePath)}else {  warning("Could not find example text data file."      ," In order to execute this example code,"      ," please, allow downloading it from github."       ," Type '?getExamplePath' for more information.")# using RData version distributed with the package insteadEddyData<-Example_DETha98}#+++ If not provided, calculate VPD from Tair and rHEddyData$VPD<- fCalcVPDfromRHandTair(EddyData$rH,EddyData$Tair)#+++ Add time stamp in POSIX time formatEddyDataWithPosix<-EddyData %>%   filterLongRuns("NEE") %>%   fConvertTimeToPosix('YDH',Year='Year',Day='DoY',Hour='Hour')#+++ Initalize R5 reference class sEddyProc for processing of eddy data#+++ with all variables needed for processing laterEProc<-sEddyProc$new('DE-Tha',EddyDataWithPosix, c('NEE','Rg','Tair','VPD','Ustar'))#Location of DE-TharandtEProc$sSetLocationInfo(LatDeg=51.0,LongDeg=13.6,TimeZoneHour=1)##++ Fill NEE gaps with MDS gap filling algorithm (without prior ustar filtering)EProc$sMDSGapFill('NEE',FillAll=FALSE)##++ Export gap filled and partitioned data to standard data frameFilledEddyData<-EProc$sExportResults()##++ Example plots of filled data to screen or to directory \plotsEProc$sPlotFingerprintY('NEE_f',Year=1998)

Docker images

docker run --rm -p 8787:8787 -e PASSWORD=REddyProc <imagename>

Reference