getLandings: Formats landings for R-ECA.
In edvinf/prepRECA: Prepares data for running R-ECA

Description Usage Arguments Details Value Examples

Prepares a Landings object as required by eca.predict.

1 2	getLandings(landings, covariates, covariateMaps, date = NULL, month = NULL, quarter = NULL)

`landings`	data.table() with total landings (as in `prepRECA`, and `rEcaDataReport`), each row corresponding to one cell. Contains columns: LiveWeightKG numeric(). Total landings (Live/Round weight in Kg) for the cell ... Additional columns to be used as covariates. These define each cell. Type of covariate must be sepcified in 'fixedEffects', 'randomEffects' or 'carEffect'
`covariates`	character() vector of covariates used in model
`covariateMaps`	list() mapping covariate values from integers used in RECA to values used in 'landings'. For a covarate 'cov', the integer i is used for value a, when covariateMaps[[cov]][[i]] == a
`date`	POSIXct() vector, matching the number of rows in 'landings', date of catch, see details.
`month`	integer() vector, matching the number of rows in 'landings', month of catch (1 for January, etc.), see details.
`quarter`	integer() vector, vector, matching the number of rows in 'landings', quarter of catch (1 for Q1, etc.), see details.

The parameters 'date', 'month', and 'quarter' are used to set the temporal resolution for catch at age prediction. Provide exactly one of these, and set the other ones to NULL. Temporal resolution need not match any temporal covariate used. One can for example run with month, even if Quarter is a covariate in the model.

Landings object as required by eca.predict

 samples <- prepRECA::NORportsampling2018$LE
 samples$Metier5 <- samples$LEmetier5
 landings <- CLCodHadNOR
 landings$LiveWeightKG <- landings$OfficialLandingsWeight
 landings$Metier5 <- landings$FishingActivityCategoryEuropeanLvl5
 covMap <- getCovariateMap("Metier5", samples, landings)
 getLandings(landings, c("Metier5"), covMap, month=landings$Month)