buildDataCU: Build output dataframes for CU data
In TESA-workshops/TESAsamSim: Closed-loop salmon simulator for 2021 TESA workshop

This is one of two sister functions that are extensions of genOutputList and used to builds dataframes around key variables that change across scenarios. One is for CU-specific data and the other for aggregate data. Each combination of directory, subdirectory, and key variable levels should represent a unique scenario (i.e. they can vary across up to three dimensions). For example, different key variables (proportion allocated to mixed fisheries) nested within OM (productivity regime) nested within higher level MP or additional OM (e.g. fixed exploitation or TAM rule).

1	buildDataCU(dirNames, cuVars, keyVarName, selectedCUs = NULL)

`dirNames`	A character vector representing directories, each of which contains multiple scenarios nested within subdirectories.
`cuVars`	A character vector representing CU-specific performance metrics to include in the dataframe.
`keyVarName`	A character vector specifying which variable differs among scenarios within a subdirectory within a directory (e.g. fixed exploitation rate).
`selectedCUs`	An optional character vector of CU names used to subset output data if CU-specific data are being pulled (i.e. `agg = FALSE`).

Returns a dataframe with columns for the keyVariable, management procedure, operating model, plotOrder, cuName, muName, variable, its median value, its lower quantile, and its upper quantile.

TESA-workshops/TESAsamSim documentation built on Feb. 6, 2021, 12:25 a.m.