Chart consistency + visual cleanup

2026-07-26 23:04:36 +02:00
parent df83623101
commit aad3b85d8f
10 changed files with 326 additions and 293 deletions
@@ -0,0 +1,103 @@
+library(ggplot2)
+library(dplyr)
+library(readr)
+library(stringr)
+
+# Usage: Rscript combined_comparison.r exp_abspath1 exp_abspath2 ... [resultsdata_file]
+# One coordinate system per base experiment (facet); c/aot/interp variants
+# share each facet, coloured by variant.
+
+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
+}
+
+extract_info <- function(path) {
+  dir_name <- basename(path)
+  match <- str_match(
+    dir_name,
+    "^\\d{2}-\\d{2}_\\d{2}-\\d{2}-\\d{2}_(.+?)_(c|aot|interp)_"
+  )
+  if (is.na(match[1, 1])) {
+    warning(paste("Could not parse:", dir_name))
+    return(NULL)
+  }
+  list(base_name = match[1, 2], variant = match[1, 3], path = path)
+}
+
+all_data <- data.frame()
+
+for (arg in exp_args) {
+  info <- extract_info(arg)
+  if (is.null(info)) {
+    next
+  }
+
+  csv_file <- file.path(info$path, csv_suffix)
+  if (!file.exists(csv_file)) {
+    warning(paste("Missing:", csv_file))
+    next
+  }
+
+  df <- read_csv(csv_file, col_types = cols())
+  df$base_name <- info$base_name
+  df$variant <- info$variant
+  all_data <- bind_rows(all_data, df)
+}
+
+if (nrow(all_data) == 0) {
+  stop("No data loaded")
+}
+
+totals <- all_data |>
+  group_by(base_name, variant, resulttype) |>
+  summarise(faults = sum(faults, na.rm = TRUE), .groups = "drop") |>
+  ungroup()
+
+marker_order <- c(
+  "OK_MARKER",
+  "FAIL_MARKER",
+  "DETECTED_MARKER",
+  "TIMEOUT",
+  "TRAP",
+  "WRITE_TEXTSEGMENT",
+  "ACCESS_OUTERSPACE",
+  "GROUP1_MARKER"
+)
+totals$resulttype <- factor(totals$resulttype, levels = marker_order)
+
+plot <- ggplot(
+  totals,
+  aes(x = resulttype, y = faults, colour = variant, group = variant)
+) +
+  geom_point(size = 2) +
+  geom_line() +
+  facet_wrap(~base_name) +
+  scale_y_log10() +
+  labs(
+    x = "Fault Type",
+    y = "Fault Count",
+    title = "Fault Count Comparison",
+    color = "Variant"
+  ) +
+  theme_minimal() +
+  theme(
+    axis.text.x = element_text(angle = 90, hjust = 1),
+    plot.title = element_text(size = 14, face = "bold")
+  )
+
+suffix <- gsub("^resultsdata|\\.csv$", "", csv_suffix)
+outfile <- paste0("injections/fault_count_comparison", suffix, ".svg")
+ggsave(outfile, plot = plot, width = 12, height = 6)
+print(paste("Saved", outfile))