# Final data visualisation to produce the plots for the paper
analysis_results <- DAISIEmainland::read_analysis_results(
data_folder_path = file.path("results")
)
DAISIEmainland::plot_sim_metrics(
analysis_results = analysis_results,
output_file_path = file.path("plots", "sim_metrics.png")
)
ctt_mainland_ex <- DAISIEmainland::plot_ctt_boxplot(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "mainland_ex"
)
ctt_unsampled <- DAISIEmainland::plot_ctt_boxplot(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "unsampled"
)
ctt <- cowplot::plot_grid(
ctt_mainland_ex,
ctt_unsampled,
nrow = 1,
labels = c("A", "B"),
label_size = 10
)
ggplot2::ggsave(
plot = ctt,
filename = file.path("plots", "ctt.png"),
device = "png",
width = 160,
height = 80,
units = "mm",
dpi = 600
)
max_age <- DAISIEmainland::plot_max_age(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "mainland_ex",
labels = c("A", "B")
)
endemics <- DAISIEmainland::plot_endemics(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "mainland_ex",
labels = c("C", "D")
)
max_age_and_endemics <- cowplot::plot_grid(max_age, endemics, ncol = 1)
ggplot2::ggsave(
plot = max_age_and_endemics,
filename = file.path("plots", "max_age_and_endemics_mainland_ex.png"),
device = "png",
width = 180,
height = 120,
units = "mm",
dpi = 600
)
max_age <- DAISIEmainland::plot_max_age(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "unsampled",
labels = c("A", "B")
)
endemics <- DAISIEmainland::plot_endemics(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "unsampled",
labels = c("C", "D")
)
max_age_and_endemics <- cowplot::plot_grid(max_age, endemics, ncol = 1)
ggplot2::ggsave(
plot = max_age_and_endemics,
filename = file.path("plots", "max_age_and_endemics_unsampled.png"),
device = "png",
width = 180,
height = 120,
units = "mm",
dpi = 600
)
max_age <- DAISIEmainland::plot_max_age(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "undiscovered",
labels = c("A", "B")
)
endemics <- DAISIEmainland::plot_endemics(
analysis_results = analysis_results,
output_file_path = NULL,
parameter = "undiscovered",
labels = c("C", "D")
)
max_age_and_endemics <- cowplot::plot_grid(max_age, endemics, ncol = 1)
ggplot2::ggsave(
plot = max_age_and_endemics,
filename = file.path("plots", "max_age_and_endemics_undiscovered.png"),
device = "png",
width = 180,
height = 120,
units = "mm",
dpi = 600
)
DAISIEmainland::plot_param_diffs(
param_set = 1,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_1.png"),
parameter = "mainland_ex",
signif = 3,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 3,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_3.png"),
parameter = "mainland_ex",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 21,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_21.png"),
parameter = "mainland_ex",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 35,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_35.png"),
parameter = "undiscovered",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 43,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_43.png"),
parameter = "undiscovered",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 23,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_23.png"),
parameter = "unsampled",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_param_diffs(
param_set = 31,
data_folder_path = file.path("results"),
output_file_path = file.path("plots", "param_estimates_31.png"),
parameter = "unsampled",
signif = 2,
scientific = FALSE,
transform = "ihs"
)
DAISIEmainland::plot_k_estimates(
analysis_results = analysis_results,
output_file_path = file.path("plots", "k_estimates_mainland_ex.png"),
parameter = "mainland_ex",
num_breaks = 4,
signif = 2,
scientific = TRUE,
labels = c("", "", "A", "B", "", "", "C", "D")
)
DAISIEmainland::plot_k_estimates(
analysis_results = analysis_results,
output_file_path = file.path("plots", "k_estimates_unsampled.png"),
parameter = "unsampled",
num_breaks = 4,
signif = 2,
scientific = TRUE,
labels = c("", "", "A", "B", "", "", "C", "D")
)
DAISIEmainland::plot_k_estimates(
analysis_results = analysis_results,
output_file_path = file.path("plots", "k_estimates_undiscovered.png"),
parameter = "undiscovered",
num_breaks = 4,
signif = 2,
scientific = TRUE,
labels = c("", "", "A", "B", "", "", "C", "D")
)
DAISIEmainland::plot_inf_k(
analysis_results = analysis_results,
output_file_path = file.path("plots", "inf_k.png"),
labels = c("A", "B")
)
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