leg_font_size <- 5 leg_locs <- c(0.7, 0.85) ribbon_line_type <- 0 plot_biomass(model_lst = list(base_model, sens_models[[2]][[4]]), model_names = c(base_model_name, sens_models_desc[[2]][3]), x_expansion = 4, ylim = c(0, 5), y_breaks = seq(0, 5, 1), tick_prop = 1.5, vjust_x_labels = -0.25, leg_font_size = leg_font_size, leg_pos = leg_locs, rev_colors = TRUE, ribbon_line_type = ribbon_line_type) + 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))
plot_rel_biomass(model_lst = list(base_model, sens_models[[2]][[4]]), model_names = c(base_model_name, sens_models_desc[[2]][3]), x_expansion = 4, ylim = c(0, 2.5), y_breaks = seq(0, 2.5, 0.5), tick_prop = 1.25, vjust_x_labels = -1.5, hjust_y_labels = 1, leg_font_size = 5, leg_pos = c(0.7, 0.85), rev_colors = TRUE, ribbon_line_type = 0) + theme(legend.key.size = unit(0.5, units = "cm"), legend.text = element_text(size = 10))
plot_survey_index_fits(sens_models[[2]][[4]], list(sens_models[[2]][[4]]), model_names = "", survey_type = "edna", tick_prop = 1, vjust_x_labels = -2, leg_pos = "none", ylim = c(0, 0.5), y_breaks = seq(0, 0.5, 0.1), xlim = c(2019, 2023), x_breaks = seq(2019, 2023, 1), x_labs_mod = 1, x_expansion = 0.5, obs_upper_bar_width = 0.05) + theme(legend.key.size = unit(0.5, units = "cm"), legend.text = element_text(size = 10))
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