idx2statTimeseries: idx2statTimeseries

Description Usage Arguments Value Examples

Description

Generates time series statistics for accepted simulations using selected probabilities.

Usage

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idx2statTimeseries(dwsFolderPath, startDate, endDate, captionDwsVar,
  TW = "day", acceptedIndices = "all", probs = c(0.025, 0.5, 0.975))

Arguments

dwsFolderPath

Folder path for .DWS output folder.

startDate

Start date with format YYYY-MM-DD (e.g. "2002-01-01").

endDate

End date with format YYYY-MM-DD (e.g. "2003-01-01").

captionDwsVar

Variable caption as it appears in the .DWS output file.

TW

Time averaging window could be: "day" , or "week", or "month" or "year" or any multiple of them, e.g. "3 month".

acceptedIndices

"all" for all files or An integer vector containing accepted simulation numbers.

probs

Vector of probabilities for which quantiles are calculated at each time step, e.g. c(0.025,0.5,0.975).

Value

A data frame containing mean and quantile time series for selected probabilities.

Examples

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## Not run: 
# Creating a copy of tutorial folder:
    getExampleFolder()
# Creating a list for setting inputs:
    globalInput <- inputGen()
# Setting parameter bounds:
    globalInput$apexPARM$Root_growth_soil[1] = 0.15
    globalInput$apexPARM$Root_growth_soil[2] = 0.2
    globalInput$apexPARM$Soil_evap_plant_cover[1] = 0
    globalInput$apexPARM$Soil_evap_plant_cover[2] = 0.5
# Performing Monte Carlo simulation:
    input4SA <- APEXSENSUN::mc4APEX(globalInput)
# Calculating stat time series:
    statTimeSeries <- idx2statTimeseries(dwsFolderPath = "Example/Calculated_Outputs/DWS/",
                                         startDate = "2002-01-01",
                                         endDate="2003-01-01",
                                         captionDwsVar="ET", TW = "week",
                                         acceptedIndices = "all",
                                         probs = c(0.025,0.5,0.85,0.975))

## End(Not run)

Rapex2017/apexsensun documentation built on May 4, 2019, 6:39 p.m.