From 7bb98831218754e58ba6792f0a54f78462d8fa6b Mon Sep 17 00:00:00 2001 From: thierrychambert <thierry.chambert@gmail.com> Date: Wed, 23 Jun 2021 15:15:28 +0200 Subject: [PATCH] merged back modif made in 'marie' branch into the 'thierr' branch updated variables names in the run_analysis file --- run_analysis.R | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/run_analysis.R b/run_analysis.R index b9b3980..e82090f 100644 --- a/run_analysis.R +++ b/run_analysis.R @@ -14,26 +14,26 @@ pop_size_mean = 200 pop_size_se = 30 pop_growth_mean = 1 -pop_growth_se = 0.03 +pop_growth_se = 0 -survivals_mean <- c(0.5, 0.7, 0.8, 0.95) -fecundities_mean <- c(0, 0, 0.05, 0.55) +survivals <- c(0.5, 0.7, 0.8, 0.95) +fecundities <- c(0, 0, 0.05, 0.55) model_demo = M2_noDD_WithDemoStoch time_horzion = 30 -coeff_var_environ = 0.10 +coeff_var_environ = 0 fatal_constant = "h" -N_type = "Ntotal" +pop_size_type = "Ntotal" ##-------------------------------------------- ## Calibration : FYI, for table dsiply -- ##-------------------------------------------- # Calibrate vital rates to match the the desired lambda -inits <- init_calib(s = survivals_mean, f = fecundities_mean, lam0 = pop_growth_mean) -vr_calibrated <- calibrate_params(inits = inits, f = fecundities_mean, s = survivals_mean, lam0 = pop_growth_mean) -s_calibrated <- head(vr_calibrated, length(survivals_mean)) -f_calibrated <- tail(vr_calibrated, length(fecundities_mean)) +inits <- init_calib(s = survivals, f = fecundities, lam0 = pop_growth_mean) +vr_calibrated <- calibrate_params(inits = inits, f = fecundities, s = survivals, lam0 = pop_growth_mean) +s_calibrated <- head(vr_calibrated, length(survivals)) +f_calibrated <- tail(vr_calibrated, length(fecundities)) ##============================================================================== @@ -41,9 +41,9 @@ f_calibrated <- tail(vr_calibrated, length(fecundities_mean)) ##============================================================================== run0 <- run_simul(nsim, fatalities_mean, fatalities_se, - pop_size_mean, pop_size_se, N_type, + pop_size_mean, pop_size_se, pop_size_type, pop_growth_mean, pop_growth_se, - survivals_mean, fecundities_mean, + survivals, fecundities, model_demo, time_horzion, coeff_var_environ, fatal_constant) @@ -69,4 +69,4 @@ out[time_horzion,,] plot_impact(N, xlab = "Annee", ylab = "Taille de population (totale)") -which(is.nan(N)) + -- GitLab