Package index • rren

Loading results

load_file_json(): Load data from given file.

load_path_json(): Load data from given path recursively.

assert_renaissance(): Check whether data resembles typical measurement results.

check_renaissance(): Check whether data resembles typical measurement results.

expect_renaissance(): Check whether data resembles typical measurement results.

Filtering results

identify_vector_outliers_global(): Compute outlier flags.

identify_vector_outliers_window(): Compute outlier flags using sliding window.

preserve_last_n(): Preserve last samples in each run by count.

preserve_last_sec(): Preserve last samples in each run by time.

flag_outliers_global(): Flag outliers.

flag_outliers_window(): Flag outliers using sliding window.

list_outliers_global(): List outliers.

list_outliers_window(): List outliers using sliding window.

remove_outliers_global(): Remove outliers.

remove_outliers_window(): Remove outliers using sliding window.

Analyzing results

compute_trends(): Compute trends.

compute_flat_percentile_ci(): Compute flat percentile bootstrap confidence interval.

compute_hierarchical_percentile_ci(): Compute hierarchical percentile bootstrap confidence interval.

compute_flat_relative_percentile_ci(): Compute flat relative percentile bootstrap confidence interval.

compute_hierarchical_relative_percentile_ci(): Compute hierarchical relative percentile bootstrap confidence interval.

compute_list_vectors_hierarchical_percentile_ci(): Compute hierarchical percentile bootstrap confidence interval.

compute_vector_flat_percentile_ci(): Compute flat percentile bootstrap confidence interval.

compute_list_vectors_pair_hierarchical_percentile_ci(): Compute hierarchical percentile bootstrap confidence interval on data set pair.

compute_vector_pair_flat_percentile_ci(): Compute flat percentile bootstrap confidence interval on data set pair.

locate_vector_segments(): Locate change point segments in samples.

list_dimensions(): Get dimensions.

list_segment_boundaries(): List segment boundaries.

list_regular_artifacts_by_interval(): Identify regular occurrences based on intervals.

list_regular_artifacts_by_position(): Identify regular occurrences based on position.

Miscellaneous functions

rren_example(): Return full path to an example file.

rren_artificial(): Return data frame with artificial data.

report_summaries(): Report result summaries.

plot_default_labels(): Prepare default plot labels.

plot_website_stripes(): Plot stripe image used on benchmark website.

plot_website_violins(): Plot violin image used on benchmark website.