Add absolute comparison plot

scripts/charts/combined_comparison.r

@@ -0,0 +1,77 @@
+library(ggplot2)
+library(dplyr)
+library(readr)
+
+# Usage: Rscript combined_comparison.r exp_abspath1 exp_abspath2 ... [resultsdata_file]
+
+args <- commandArgs(trailingOnly = TRUE)
+if (length(args) < 1) {
+  stop("Need at least 1 experiment")
+}
+
+csv_suffix <- if (grepl("\\.csv$", args[length(args)])) {
+  args[length(args)]
+} else {
+  "resultsdata.csv"
+}
+exp_args <- if (grepl("\\.csv$", args[length(args)])) {
+  args[-length(args)]
+} else {
+  args
+}
+
+all_data <- data.frame()
+
+for (arg in exp_args) {
+  csv_file <- file.path(arg, csv_suffix)
+  if (!file.exists(csv_file)) {
+    warning(paste("Missing:", csv_file))
+    next
+  }
+
+  df <- read_csv(csv_file, col_types = cols())
+  df$experiment <- basename(arg)
+  all_data <- bind_rows(all_data, df)
+}
+
+if (nrow(all_data) == 0) {
+  stop("No data loaded")
+}
+
+totals <- all_data |>
+  group_by(experiment, resulttype) |>
+  summarise(faults = sum(faults, na.rm = TRUE), .groups = "drop") |>
+  ungroup()
+
+marker_order <- c(
+  "OK_MARKER",
+  "FAIL_MARKER",
+  "DETECTED_MARKER",
+  "TIMEOUT",
+  "TRAP",
+  "WRITE_TEXTSEGMENT",
+  "ACCESS_OUTERSPACE",
+  "GROUP1_MARKER"
+)
+totals$resulttype <- factor(totals$resulttype, levels = marker_order)
+
+plot <- ggplot(
+  totals,
+  aes(x = resulttype, y = faults, colour = experiment, group = experiment)
+) +
+  geom_point(size = 2) +
+  geom_line() +
+  scale_y_log10() +
+  labs(
+    x = "Marker",
+    y = "Faults",
+    title = "Combined Comparison",
+    color = "Experiment"
+  ) +
+  theme_minimal() +
+  theme(axis.text.x = element_text(angle = 45, hjust = 1))
+
+suffix <- gsub("^resultsdata|\\.csv$", "", csv_suffix)
+outfile <- paste0("injections/combined_comparison", suffix, ".svg")
+ggsave(outfile, plot = plot, width = 12, height = 6)
+print(paste("Saved", outfile))

scripts/charts/ratio_correlation.r

@@ -109,7 +109,7 @@ plot <- ggplot(
   scale_y_log10(name = "Interpreter / C Ratio") +
   labs(
     title = sprintf("Ratio Correlation (r = %.4f)", cor_result),
-    color = "Target",
+    color = "Experiment",
     shape = "Marker"
   ) +
   theme_minimal() +