## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(knobi) ## ----------------------------------------------------------------------------- data( knobi_dataset) hake_n <- knobi_dataset$hake_n ## ----------------------------------------------------------------------------- data <- list( SSB = hake_n$SSB, Catch = hake_n$catches, F_input = hake_n$F, Recruitment = hake_n$recruitment, RP = list( F_MSY = 0.26), # Provided by ICES years = hake_n$Year ) ## ----------------------------------------------------------------------------- control <- list( pella = "TRUE") ## ----eval=FALSE--------------------------------------------------------------- # hake_n_results <- knobi_fit( data = data, # control = control, # plot_out = FALSE) ## ----echo=FALSE, fig.show='hide'---------------------------------------------- hake_n_results <- knobi_fit( data, control, plot_out=FALSE) ## ----echo=FALSE, warning=FALSE, fig.width=6, fig.height=4, fig.align = 'center'---- hake_n_results <- knobi_fit( data, control, plot_out=FALSE) ## ----------------------------------------------------------------------------- hake_n_results ## ----------------------------------------------------------------------------- hake_n_results$BRPs ## ----------------------------------------------------------------------------- Env <- knobi_dataset$Env nlag <- 5 years <- hake_n_results$df$Year ind <- which(Env[,1]==years[1]) ind1 <- which(Env[,1]==years[length(years)]) Env <- Env[(ind-nlag):ind1,] ## ----------------------------------------------------------------------------- data <- list( env = data.frame( AMO=Env$AMO, NAO=Env$NAO), years = Env$years) ## ----------------------------------------------------------------------------- control <- list( nlag = nlag) ## ----eval=FALSE--------------------------------------------------------------- # hake_n_environmental <- knobi_env(knobi_results = hake_n_results, # data = data, # control = control, # plot_out = FALSE) ## ----echo=FALSE, fig.width=6, fig.height=4, fig.align = 'center'------------- hake_n_environmental <- knobi_env(hake_n_results,data,control) ## ----------------------------------------------------------------------------- hake_n_environmental ## ----------------------------------------------------------------------------- hake_n_environmental$BRPs ## ----eval=FALSE--------------------------------------------------------------- # control$plot3d = TRUE # knobi_env( hake_n_results, data, control) ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- control <- list( lag=c(2,3), multicovar=TRUE) hake_n_multi <- knobi_env( hake_n_results, data, control) ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- control_ar <- list( nlag=3, ar_cor=TRUE) hake_env_ar <- knobi_env( hake_n_results, data = data, control = control_ar) ## ----------------------------------------------------------------------------- hake_env_ar$env_aic ## ----------------------------------------------------------------------------- hake_env_ar$selected_lag ## ----eval=FALSE--------------------------------------------------------------- # hake_n_retros <- knobi_retro( knobi_results = hake_n_results, # nR = 5, # plot_out = FALSE) ## ----echo=FALSE, fig.width=6, fig.height=4, fig.align = 'center'------------- hake_n_retros <- knobi_retro( hake_n_results, nR=5, plot_out=FALSE) ## ----------------------------------------------------------------------------- hake_n_retros ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- knobi_retro( hake_n_results, yR = c(2005,2010,2015)) ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- knobi_retro( hake_n_results, yR = c(2005,2010,2015), yR0 = c(1990,1995,1995)) ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- knobi_retro(hake_n_results, hake_n_environmental, nR = 3); hake_n_retros ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- knobi_retro( hake_n_results, hake_n_multi, yR = c(2005,2010,2015), yR0 = c(1990,1995,1995)) ## ----------------------------------------------------------------------------- catch <- rep(hake_n_results$input$Catch[length(hake_n_results$input$Catch)],8) C <- data.frame(catch=catch, catch08=0.8*catch, catch12=1.2*catch) ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- projections <- knobi_proj( knobi_results=hake_n_results, c=C) ## ----------------------------------------------------------------------------- projections ## ----------------------------------------------------------------------------- last_AMO <- Env$AMO[length(Env$AMO)] env <- data.frame( AMOi=rep(last_AMO,5), AMOii=rep(last_AMO*1.5,5), AMOiii=rep(last_AMO*0.5,5)) C <- C[(1:5),] ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- env_projections <- knobi_proj(hake_n_results, hake_n_environmental, c=C, env=env) env_projections ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- fmsy <- hake_n_results$BRPs['F_MSY'] ff <- rep(fmsy,5) f <- data.frame( f=ff, f12=ff*1.2, f08=ff*0.8) f_projections <- knobi_proj( hake_n_results, f=f, env_results=hake_n_environmental, env=env) f_projections ## ----fig.width=6, fig.height=4, fig.align = 'center'-------------------------- env <- list( climate_1 = data.frame( AMO=c(0.2,0.2,0.3,0.3,0.4), NAO=c(0.2,0.2,0.3,0.3,0.4)), climate_2 = data.frame( AMO=c(0.2,0.3,0.4,0.5,0.6), NAO=c(0.2,0.3,0.4,0.5,0.6))) multiproj <- knobi_proj( hake_n_results, hake_n_multi, c=C, env=env) multiproj