R: add plot_model_comparison_no_gap.R mirroring 1-year script; generate per-plot and 2x2 cowplot grid from model_comparison_auc_no_gap.csv
This commit is contained in:
@@ -7,6 +7,7 @@
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suppressPackageStartupMessages({
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library(ggplot2)
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library(cowplot)
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})
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args <- commandArgs(trailingOnly = TRUE)
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@@ -25,24 +26,6 @@ df <- tryCatch({
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stop(sprintf("Failed to read CSV at '%s': %s", csv_path, e$message))
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})
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# Helper to make a scatter plot comparing model vs Delphi AUC
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make_comparison_plot <- function(data, y_col, title_text, y_label) {
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# Use shape 21 (filled circle) to allow white stroke and colored fill
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ggplot(data, aes(x = auc_delphi, y = .data[[y_col]])) +
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geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
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geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
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scale_fill_identity() +
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coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
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coord_fixed(ratio = 1) +
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labs(title = title_text, x = "AUC_Delphi", y = y_label) +
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theme_minimal(base_size = 10) +
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theme(
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plot.title = element_text(hjust = 0.5),
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panel.grid.minor = element_blank()
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)
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}
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# Helper to compare any two AUC columns (x vs y)
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make_xy_plot <- function(data, x_col, y_col, title_text, x_label, y_label) {
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@@ -62,66 +45,30 @@ make_xy_plot <- function(data, x_col, y_col, title_text, x_label, y_label) {
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)
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}
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# Plot: AUC_256 vs AUC_Delphi (1 year gap)
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if (!all(c("auc_delphi", "auc_256") %in% names(df))) {
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stop("Input CSV must contain columns 'auc_delphi' and 'auc_256'.")
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}
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p256 <- make_comparison_plot(
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data = df,
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y_col = "auc_256",
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title_text = "AUC_256 vs AUC_Delphi 1 year gap",
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y_label = "AUC_256"
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)
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out_256 <- file.path(out_dir, "model_comparison_auc_256_vs_delphi_1year.png")
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ggsave(filename = out_256, plot = p256, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_256))
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# Plot: AUC_120 vs AUC_Delphi (1 year gap)
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if (!"auc_120" %in% names(df)) {
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warning("Column 'auc_120' not found in CSV; skipping AUC_120 vs AUC_Delphi plot.")
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} else {
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p120 <- make_comparison_plot(
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data = df,
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y_col = "auc_120",
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title_text = "AUC_120 vs AUC_Delphi 1 year gap",
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y_label = "AUC_120"
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# Helper to compare model AUC vs Delphi AUC (x = auc_delphi)
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make_delphi_plot <- function(data, y_col, title_text, y_label) {
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ggplot(data, aes(x = auc_delphi, y = .data[[y_col]])) +
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geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
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geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
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scale_fill_identity() +
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coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
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coord_fixed(ratio = 1) +
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labs(title = title_text, x = "AUC_Delphi", y = y_label) +
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theme_minimal(base_size = 10) +
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theme(
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plot.title = element_text(hjust = 0.5),
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panel.grid.minor = element_blank()
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)
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out_120 <- file.path(out_dir, "fig_auc_120_vs_delphi_1year.png")
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ggsave(filename = out_120, plot = p120, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_120))
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}
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# Plot: AUC_256_L vs AUC_Delphi (1 year gap)
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if (!"auc_256_l" %in% names(df)) {
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warning("Column 'auc_256_l' not found in CSV; skipping AUC_256_L vs AUC_Delphi plot.")
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} else {
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p256l <- make_comparison_plot(
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data = df,
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y_col = "auc_256_l",
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title_text = "AUC_256_L vs AUC_Delphi 1 year gap",
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y_label = "AUC_256_L"
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)
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out_256l <- file.path(out_dir, "model_comparison_auc_256_l_vs_delphi_1year.png")
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ggsave(filename = out_256l, plot = p256l, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_256l))
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# Placeholder empty plot if a required column is missing
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empty_plot <- function(msg) {
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ggplot() + theme_void() + ggtitle(msg) + theme(plot.title = element_text(hjust = 0.5))
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}
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# Plot: AUC_120_L vs AUC_Delphi (1 year gap)
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if (!"auc_120_l" %in% names(df)) {
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warning("Column 'auc_120_l' not found in CSV; skipping AUC_120_L vs AUC_Delphi plot.")
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} else {
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p120l <- make_comparison_plot(
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data = df,
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y_col = "auc_120_l",
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title_text = "AUC_120_L vs AUC_Delphi 1 year gap",
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y_label = "AUC_120_L"
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)
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out_120l <- file.path(out_dir, "fig_auc_120_l_vs_delphi_1year.png")
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ggsave(filename = out_120l, plot = p120l, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_120l))
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}
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# Plot: AUC_120 vs AUC_120_L (1 year gap)
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if (!all(c("auc_120", "auc_120_l") %in% names(df))) {
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@@ -156,3 +103,23 @@ if (!all(c("auc_256", "auc_256_l") %in% names(df))) {
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ggsave(filename = out_256_vs_256l, plot = p256_vs_256l, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_256_vs_256l))
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}
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# ---- Combined 2x2 grid: (auc_120 vs delphi), (auc_256 vs delphi), (auc_120_l vs delphi), (auc_256_l vs delphi) ----
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has_cols <- function(cols) all(cols %in% names(df))
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p_120_vs_delphi <- if (has_cols(c("auc_delphi", "auc_120"))) make_delphi_plot(df, "auc_120", "AUC_120 vs Delphi (1 year)", "AUC_120") else empty_plot("Missing auc_120 or auc_delphi")
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p_256_vs_delphi <- if (has_cols(c("auc_delphi", "auc_256"))) make_delphi_plot(df, "auc_256", "AUC_256 vs Delphi (1 year)", "AUC_256") else empty_plot("Missing auc_256 or auc_delphi")
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p_120l_vs_delphi <- if (has_cols(c("auc_delphi", "auc_120_l"))) make_delphi_plot(df, "auc_120_l", "AUC_120_L vs Delphi (1 year)", "AUC_120_L") else empty_plot("Missing auc_120_l or auc_delphi")
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p_256l_vs_delphi <- if (has_cols(c("auc_delphi", "auc_256_l"))) make_delphi_plot(df, "auc_256_l", "AUC_256_L vs Delphi (1 year)", "AUC_256_L") else empty_plot("Missing auc_256_l or auc_delphi")
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grid_plot <- plot_grid(
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p_120_vs_delphi, p_256_vs_delphi,
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p_120l_vs_delphi, p_256l_vs_delphi,
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labels = c("A", "B", "C", "D"),
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ncol = 2, align = "hv"
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)
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out_grid <- file.path(out_dir, "model_comparison_auc_vs_delphi_1year_grid.png")
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ggsave(filename = out_grid, plot = grid_plot, width = 12, height = 8, dpi = 300, bg = "white")
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cat(sprintf("Saved grid: %s\n", out_grid))
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128
plot_model_comparison_no_gap.R
Normal file
128
plot_model_comparison_no_gap.R
Normal file
@@ -0,0 +1,128 @@
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# Plot AUC comparisons (no gap) between models and Delphi using ggplot2
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# Usage:
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# Rscript plot_model_comparison_no_gap.R [path_to_csv] [output_dir]
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# Defaults:
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# path_to_csv = "model_comparison_auc_no_gap.csv"
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# output_dir = current working directory (".")
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suppressPackageStartupMessages({
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library(ggplot2)
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library(cowplot)
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})
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args <- commandArgs(trailingOnly = TRUE)
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csv_path <- if (length(args) >= 1) args[1] else "model_comparison_auc_no_gap.csv"
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out_dir <- if (length(args) >= 2) args[2] else "."
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if (!dir.exists(out_dir)) {
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dir.create(out_dir, recursive = TRUE, showWarnings = FALSE)
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}
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# Read data
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# Expect columns including: auc_delphi, auc_256, auc_120, auc_256_l, auc_120_l, Colour (hex color), name, etc.
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df <- tryCatch({
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read.csv(csv_path, check.names = FALSE)
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}, error = function(e) {
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stop(sprintf("Failed to read CSV at '%s': %s", csv_path, e$message))
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})
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# Helper to compare any two AUC columns (x vs y)
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make_xy_plot <- function(data, x_col, y_col, title_text, x_label, y_label) {
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ggplot(data, aes(x = .data[[x_col]], y = .data[[y_col]])) +
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geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
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geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
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scale_fill_identity() +
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coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
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coord_fixed(ratio = 1) +
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labs(title = title_text, x = x_label, y = y_label) +
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theme_minimal(base_size = 10) +
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theme(
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plot.title = element_text(hjust = 0.5),
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panel.grid.minor = element_blank()
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)
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}
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# Helper to compare model AUC vs Delphi AUC (x = auc_delphi)
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make_delphi_plot <- function(data, y_col, title_text, y_label) {
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ggplot(data, aes(x = auc_delphi, y = .data[[y_col]])) +
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geom_abline(slope = 1, intercept = 0, color = "black", linetype = "dashed", linewidth = 0.5) +
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geom_vline(xintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_hline(yintercept = 0.5, color = "gray50", linetype = "dashed", linewidth = 0.4) +
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geom_point(aes(fill = Colour), shape = 21, color = "white", stroke = 0.65, size = 2.2, alpha = 0.95, show.legend = FALSE) +
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scale_fill_identity() +
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coord_cartesian(xlim = c(0.3, 1.05), ylim = c(0.3, 1.05)) +
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coord_fixed(ratio = 1) +
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labs(title = title_text, x = "AUC_Delphi", y = y_label) +
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theme_minimal(base_size = 10) +
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theme(
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plot.title = element_text(hjust = 0.5),
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panel.grid.minor = element_blank()
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)
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}
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# Placeholder empty plot if a required column is missing
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empty_plot <- function(msg) {
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ggplot() + theme_void() + ggtitle(msg) + theme(plot.title = element_text(hjust = 0.5))
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}
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# Individual Delphi comparison plots
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has_cols <- function(cols) all(cols %in% names(df))
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# AUC_120 vs AUC_Delphi (no gap)
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if (has_cols(c("auc_delphi", "auc_120"))) {
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p120 <- make_delphi_plot(df, "auc_120", "AUC_120 vs AUC_Delphi (no gap)", "AUC_120")
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out_120 <- file.path(out_dir, "fig_auc_120_vs_delphi_no_gap.png")
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ggsave(filename = out_120, plot = p120, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_120))
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} else {
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warning("Missing columns for AUC_120 vs Delphi plot.")
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}
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# AUC_256 vs AUC_Delphi (no gap)
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if (has_cols(c("auc_delphi", "auc_256"))) {
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p256 <- make_delphi_plot(df, "auc_256", "AUC_256 vs AUC_Delphi (no gap)", "AUC_256")
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out_256 <- file.path(out_dir, "model_comparison_auc_256_vs_delphi_no_gap.png")
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ggsave(filename = out_256, plot = p256, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_256))
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} else {
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warning("Missing columns for AUC_256 vs Delphi plot.")
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}
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# AUC_120_L vs AUC_Delphi (no gap)
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if (has_cols(c("auc_delphi", "auc_120_l"))) {
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p120l <- make_delphi_plot(df, "auc_120_l", "AUC_120_L vs AUC_Delphi (no gap)", "AUC_120_L")
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out_120l <- file.path(out_dir, "fig_auc_120_l_vs_delphi_no_gap.png")
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ggsave(filename = out_120l, plot = p120l, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_120l))
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} else {
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warning("Missing columns for AUC_120_L vs Delphi plot.")
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}
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# AUC_256_L vs AUC_Delphi (no gap)
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if (has_cols(c("auc_delphi", "auc_256_l"))) {
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p256l <- make_delphi_plot(df, "auc_256_l", "AUC_256_L vs AUC_Delphi (no gap)", "AUC_256_L")
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out_256l <- file.path(out_dir, "model_comparison_auc_256_l_vs_delphi_no_gap.png")
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ggsave(filename = out_256l, plot = p256l, width = 7, height = 4, dpi = 600, bg = "white")
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cat(sprintf("Saved: %s\n", out_256l))
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} else {
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warning("Missing columns for AUC_256_L vs Delphi plot.")
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}
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# 2x2 grid of Delphi comparisons
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p_120_vs_delphi <- if (has_cols(c("auc_delphi", "auc_120"))) make_delphi_plot(df, "auc_120", "AUC_120 vs Delphi (no gap)", "AUC_120") else empty_plot("Missing auc_120 or auc_delphi")
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p_256_vs_delphi <- if (has_cols(c("auc_delphi", "auc_256"))) make_delphi_plot(df, "auc_256", "AUC_256 vs Delphi (no gap)", "AUC_256") else empty_plot("Missing auc_256 or auc_delphi")
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p_120l_vs_delphi <- if (has_cols(c("auc_delphi", "auc_120_l"))) make_delphi_plot(df, "auc_120_l", "AUC_120_L vs Delphi (no gap)", "AUC_120_L") else empty_plot("Missing auc_120_l or auc_delphi")
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p_256l_vs_delphi <- if (has_cols(c("auc_delphi", "auc_256_l"))) make_delphi_plot(df, "auc_256_l", "AUC_256_L vs Delphi (no gap)", "AUC_256_L") else empty_plot("Missing auc_256_l or auc_delphi")
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grid_plot <- plot_grid(
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p_120_vs_delphi, p_256_vs_delphi,
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p_120l_vs_delphi, p_256l_vs_delphi,
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labels = c("A", "B", "C", "D"),
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ncol = 2, align = "hv"
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)
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out_grid <- file.path(out_dir, "model_comparison_auc_vs_delphi_no_gap_grid.png")
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ggsave(filename = out_grid, plot = grid_plot, width = 12, height = 8, dpi = 300, bg = "white")
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cat(sprintf("Saved grid: %s\n", out_grid))
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