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