plot_biomass(d_obj = retros_biomass_incremental[[1]], leg_font_size = 5, x_expansion = 4, tick_prop = 1.5, vjust_x_labels = 0, leg_pos = c(0.7, 0.85), leg_ncol = 1, alpha = 0.1, rev_colors = TRUE, ribbon_line_type = 0) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.1, units = "cm"), legend.text = element_text(size = 8))
plot_biomass(d_obj = retros_biomass_incremental[[2]], leg_font_size = 5, x_expansion = 4, tick_prop = 1.5, vjust_x_labels = 0, leg_pos = c(0.7, 0.85), leg_ncol = 1, alpha = 0.1, rev_colors = TRUE, ribbon_line_type = 0) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.1, units = "cm"), legend.text = element_text(size = 8))
plot_biomass(d_obj = retros_biomass_incremental[[3]], leg_font_size = 5, x_expansion = 4, tick_prop = 1.5, vjust_x_labels = 0, leg_pos = c(0.7, 0.85), leg_ncol = 1, alpha = 0.1, rev_colors = TRUE, ribbon_line_type = 0) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.1, units = "cm"), legend.text = element_text(size = 8))
plot_biomass(d_obj = retros_biomass_incremental[[4]], leg_font_size = 5, x_expansion = 4, tick_prop = 1.5, vjust_x_labels = 0, leg_pos = c(0.7, 0.85), leg_ncol = 1, alpha = 0.1, rev_colors = TRUE, ribbon_line_type = 0) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.1, units = "cm"), legend.text = element_text(size = 8))
plot_biomass(d_obj = retros_biomass_incremental[[5]], leg_font_size = 5, x_expansion = 4, tick_prop = 1.5, vjust_x_labels = 0, leg_pos = c(0.7, 0.85), leg_ncol = 1, alpha = 0.1, rev_colors = TRUE, ribbon_line_type = 0) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.1, units = "cm"), legend.text = element_text(size = 8))
leg_font_size <- 5 leg_locs <- c(0.7, 0.85) ribbon_line_type <- 0 plot_recruitment(d_obj = base_model$retrospectives$recr_df , tick_prop = 1.5, vjust_x_labels = 0, leg_font_size = 5, leg_pos = c(0.10, 0.75), inc_means = FALSE, rev_colors = TRUE, xlim = c(2007, 2024), x_expansion = 1) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12), legend.key.size = unit(0.5, units = "cm"), legend.text = element_text(size = 10))
y_lim_squid <- c(-3.6, 4.2) # Fix across plots.
plot_squid(base_model, show_ci = TRUE, ci_yrs = c(2020,2021), y_lim = y_lim_squid) + theme(axis.title.x = element_text(size = 12), axis.title.y = element_text(size = 12))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.