buildDataAgg: Build output dataframes for aggregate data

In Pacific-salmon-assess/samSim: Closed-loop salmon dynamics simulator

Build output dataframes for aggregate data

Description

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).

Usage

buildDataAgg(dirNames, agVars, keyVarName)

Arguments

dirNames	A character vector representing directories, each of which contains multiple scenarios nested within subdirectories.
agVars	A character vector representing aggregate 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).

Value

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

Examples

TO BE COMPLETED

Pacific-salmon-assess/samSim documentation built on Jan. 20, 2025, 11:17 a.m.