getMDFR.ZScoresForFleets: Get model fits to abundance, biomass or size frequencies as...

In wStockhausen/rTCSAM2015: A set of tools to set up input for, and interact with output from, a TCSAM2015 model run, as well as to compare TCSAM2015 and rsimTCSAM runs.

Usage

getMDFR.ZScoresForFleets(repObjs, fleet.type = "fishery",
  data.type = "abundance", verbose = FALSE)

Arguments

repObjs	- single model report list object, or named list of them
fleet.type	- fleet type ('fishery' or 'survey')
data.type	- data type ('abundance', 'biomass', or 'n.at.z')
verbose	- flag (T/F) to print diagnostic info

Details

Uses getMDFR.ZScoresForABData() and getMDFR.ZScoresForSizeComps(). Returned dataframe has columns:

• x - sex

• m - maturity

• s - shell condition

• y - year

• z - size bin [if data.type was 'n.at.z']

• val - value

• var - variable type

• data.type - data type ('abundance','biomass', or 'n.at.z')

• catch.type - catch type ('index.catch','retained.catch', etc.)

• fleet - fleet name

• fleet.type - fleet type ('survey' or 'fishery')

• model - model name

Note: the 'z' column will be present only if the data.type requested was 'n.at.z'.

Value

dataframe

wStockhausen/rTCSAM2015 documentation built on May 3, 2019, 7:14 p.m.