From 0a64ff62830495ea21bdafe33b6166c3955d35fd Mon Sep 17 00:00:00 2001 From: admin Date: Fri, 25 Apr 2025 21:13:44 +0200 Subject: First Commit --- tests/Example.csv | 7 + tests/Sampled_Example.csv | 1002 +++++++++++++++++++++++++++++++++++++++++++++ tests/hist.r | 84 ++++ 3 files changed, 1093 insertions(+) create mode 100644 tests/Example.csv create mode 100644 tests/Sampled_Example.csv create mode 100644 tests/hist.r (limited to 'tests') diff --git a/tests/Example.csv b/tests/Example.csv new file mode 100644 index 0000000..2c6ed66 --- /dev/null +++ b/tests/Example.csv @@ -0,0 +1,7 @@ +Iteration Number,Parameter 1 Name,Parameter 2 Name,Parameter 3 Name,Parameter 4 Name +Probability Density Function (U=Uniform; N=Normal/Gaussian; T=Truncated Normal),U,U,N,T +Nominal, 0, 0, 6, 5 +Max, 1, 0.1, 10, 7 +Min, -1, -0.1, 2, 3 +Mean,0.0, 0.0, 6.0, 5.0 +Standard Deviation, 0, 0, 1.3, 1.5 diff --git a/tests/Sampled_Example.csv b/tests/Sampled_Example.csv new file mode 100644 index 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as.numeric(args[2]) +start_row <- 2 +col_num <- as.numeric(args[2]) + +# Optional min and max values (positions 3 and 4) +user_min <- ifelse(length(args) >= 3, as.numeric(args[3]), NA) +user_max <- ifelse(length(args) >= 4, as.numeric(args[4]), NA) + +# Number of bins now at the end (position 5) +num_bins <- ifelse(length(args) >= 5, as.numeric(args[5]), 20) # Default to 20 bins if not specified + +# Read the CSV file (assuming it has a header) +data <- read.csv(filename, header = TRUE) + +# Extract the data +plot_data <- data[start_row:nrow(data), col_num] + +# Convert to numeric +plot_data <- as.numeric(as.character(plot_data)) +plot_data <- plot_data[!is.na(plot_data)] + +# Determine range bounds +data_min <- min(plot_data) +data_max <- max(plot_data) + +range_min <- ifelse(is.na(user_min), data_min, user_min) +range_max <- ifelse(is.na(user_max), data_max, user_max) + +# Calculate percentage of samples within the range +count_in_range <- sum(plot_data >= range_min & plot_data <= range_max) +total_count <- length(plot_data) +percent_in_range <- (count_in_range / total_count) * 100 + +# Output to command line +cat(sprintf("%.2f%% of samples are within the range [%.2f, %.2f]\n", + percent_in_range, range_min, range_max)) + +# Set up graphics +windows(width = 8, height = 6) + +# Create the histogram +hist(plot_data, + breaks = num_bins, + main = paste("Histogram of Column", col_num), + xlab = "Value", + col = "lightblue", + border = "black") + +# Add vertical lines for min and max if provided by user +if(!is.na(user_min)) { + abline(v = user_min, col = "red", lwd = 2, lty = 2) +} +if(!is.na(user_max)) { + abline(v = user_max, col = "red", lwd = 2, lty = 2) +} + +# Add basic statistics including standard deviation +stats_text <- paste0("n = ", length(plot_data), "\n", + "min = ", sprintf("%.2f", data_min), "\n", + "max = ", sprintf("%.2f", data_max), "\n", + "mean = ", sprintf("%.2f", mean(plot_data)), "\n", + "median = ", sprintf("%.2f", median(plot_data)), "\n", + "sd = ", sprintf("%.2f", sd(plot_data)), "\n", + sprintf("%.2f%% in [%.2f, %.2f]", + percent_in_range, range_min, range_max)) + +text_x <- par("usr")[1] + 0.05 * (par("usr")[2] - par("usr")[1]) +text_y <- par("usr")[4] - 0.1 * (par("usr")[4] - par("usr")[3]) +text(text_x, text_y, stats_text, adj = c(0, 1)) + +# Add text to instruct user +mtext("Close this window using the X button when done", side = 1, line = 4, col = "red") + +# Tell user what to do +cat("Histogram displayed. Close the window manually when done viewing.\n") +cat("Usage: Rscript hist.r filename.csv column_number [min] [max] [bins]\n") + +# Keep the script running until the window is closed +Sys.sleep(1000) # Keep script running for a long time -- cgit v1.2.3