From 8316326d7e4b031b38166fc271fc1718a30d908b Mon Sep 17 00:00:00 2001
From: Jiarui Li <jiarui_li@outlook.com>
Date: Wed, 22 Oct 2025 15:25:58 +0800
Subject: [PATCH] Add R script to plot 1-year AUC comparisons with ggplot2 (256
 vs Delphi and 120 vs Delphi)

---
 plot_model_comparison_1year.R | 76 +++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 plot_model_comparison_1year.R

diff --git a/plot_model_comparison_1year.R b/plot_model_comparison_1year.R
new file mode 100644
index 0000000..7fbf198
--- /dev/null
+++ b/plot_model_comparison_1year.R
@@ -0,0 +1,76 @@
+# Plot AUC comparisons (1-year gap) between models and Delphi using ggplot2
+# Usage:
+#   Rscript plot_model_comparison_1year.R [path_to_csv] [output_dir]
+# Defaults:
+#   path_to_csv = "model_comparison_auc_1year.csv"
+#   output_dir  = current working directory (".")
+
+suppressPackageStartupMessages({
+  library(ggplot2)
+})
+
+args <- commandArgs(trailingOnly = TRUE)
+csv_path <- if (length(args) >= 1) args[1] else "model_comparison_auc_1year.csv"
+out_dir  <- if (length(args) >= 2) args[2] else "."
+
+if (!dir.exists(out_dir)) {
+  dir.create(out_dir, recursive = TRUE, showWarnings = FALSE)
+}
+
+# Read data
+# Expect columns including: auc_delphi, auc_256, auc_120, Colour (hex color), name, etc.
+df <- tryCatch({
+  read.csv(csv_path, check.names = FALSE)
+}, error = function(e) {
+  stop(sprintf("Failed to read CSV at '%s': %s", csv_path, e$message))
+})
+
+# Helper to make a scatter plot comparing model vs Delphi AUC
+make_comparison_plot <- function(data, y_col, title_text, y_label) {
+  # Use shape 21 (filled circle) to allow white stroke and colored fill
+  ggplot(data, aes(x = auc_delphi, y = .data[[y_col]])) +
+    geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
+    geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
+    geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
+    geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
+    scale_fill_identity() +
+    coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
+    coord_fixed(ratio = 1) +
+    labs(title = title_text, x = "AUC_Delphi", y = y_label) +
+    theme_minimal(base_size = 10) +
+    theme(
+      plot.title = element_text(hjust = 0.5),
+      panel.grid.minor = element_blank()
+    )
+}
+
+# Plot: AUC_256 vs AUC_Delphi (1 year gap)
+if (!all(c("auc_delphi", "auc_256") %in% names(df))) {
+  stop("Input CSV must contain columns 'auc_delphi' and 'auc_256'.")
+}
+
+p256 <- make_comparison_plot(
+  data = df,
+  y_col = "auc_256",
+  title_text = "AUC_256 vs AUC_Delphi 1 year gap",
+  y_label = "AUC_256"
+)
+
+out_256 <- file.path(out_dir, "model_comparison_auc_256_vs_delphi_1year.png")
+ggsave(filename = out_256, plot = p256, width = 7, height = 4, dpi = 600, bg = "white")
+cat(sprintf("Saved: %s\n", out_256))
+
+# Plot: AUC_120 vs AUC_Delphi (1 year gap)
+if (!"auc_120" %in% names(df)) {
+  warning("Column 'auc_120' not found in CSV; skipping AUC_120 vs AUC_Delphi plot.")
+} else {
+  p120 <- make_comparison_plot(
+    data = df,
+    y_col = "auc_120",
+    title_text = "AUC_120 vs AUC_Delphi 1 year gap",
+    y_label = "AUC_120"
+  )
+  out_120 <- file.path(out_dir, "fig_auc_120_vs_delphi_1year.png")
+  ggsave(filename = out_120, plot = p120, width = 7, height = 4, dpi = 600, bg = "white")
+  cat(sprintf("Saved: %s\n", out_120))
+}