From 316c4c217c003a974079ea0dc46541691aa42a8d Mon Sep 17 00:00:00 2001
From: Petr Tuma <petr.tuma@d3s.mff.cuni.cz>
Date: Sat, 18 Nov 2023 15:42:47 +0100
Subject: [PATCH 1/2] Website palette change

---
 DESCRIPTION | 2 +-
 R/report.R  | 7 +++++--
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 81bac66..9931509 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: rren
 Title: Renaissance Benchmark Data Processing Package
-Version: 0.0.8
+Version: 0.1.0
 Authors@R:
     person ("Petr", "Tuma", email = "petr.tuma@d3s.mff.cuni.cz", role = c ("aut", "cre"), comment = c (ORCID = "0000-0002-7035-2322"))
 Description: A utility package for processing the data produced by the Renaissance benchmark suite (https://renaissance.dev).
diff --git a/R/report.R b/R/report.R
index dd4a4f0..4e7083f 100644
--- a/R/report.R
+++ b/R/report.R
@@ -149,6 +149,7 @@ plot_website_stripes_group_helper <- function (group, key) {
             fill = fct_reorder (.data $ vm_label, .data $ vm_order))) +
         geom_col () +
         geom_errorbar (width = 0.5, color = '#555555') +
+        scale_fill_brewer (palette = 'Accent', type = 'qual') +
         facet_wrap (vars (.data $ benchmark), nrow = STRIPE_ROWS, scales = 'free_y', strip.position = 'bottom') +
         labs (x = NULL, y = 'Average throughput relative to baseline [%]', fill = 'JVM implementation') +
         theme (
@@ -219,13 +220,15 @@ plot_website_violins_group_helper <- function (group, key) {
             fill = fct_reorder (.data $ vm_label, .data $ vm_order))) +
         geom_violin (scale = 'width', width = 1) +
         geom_boxplot (width = 0.2) +
+        scale_fill_brewer (palette = 'Blues', type = 'qual') +
         facet_wrap (vars (.data $ benchmark), nrow = PLOT_ROWS, scales = 'free_y') +
-        theme (legend.position = 'none', axis.text.x = element_text (angle = 90, vjust = 0.5, hjust = 1)) +
         labs (
             x = NULL,
             y = 'Single repetition time [s]',
             title = glue ('Warm repetition time distribution except outliers on JDK {key $ vm_jdk}')) +
-        scale_fill_brewer (palette = 'Blues', type = 'qual')
+        theme (
+            legend.position = 'none',
+            axis.text.x = element_text (angle = 90, vjust = 0.5, hjust = 1))
 
     ggsave (glue ('violin-jdk-{key $ vm_jdk}.png'), nice, width = PLOT_WIDTH, height = PLOT_HEIGHT, units = 'mm')
 }

From 128ea256bae796d9c8a5e40b507d883543552a78 Mon Sep 17 00:00:00 2001
From: ceresek <ceresek@users.noreply.github.com>
Date: Sat, 18 Nov 2023 14:45:31 +0000
Subject: [PATCH 2/2] Automated pkgdown update

---
 docs/404.html                                               | 2 +-
 docs/LICENSE.html                                           | 2 +-
 docs/authors.html                                           | 6 +++---
 docs/index.html                                             | 2 +-
 docs/reference/assert_renaissance.html                      | 2 +-
 docs/reference/check_renaissance.html                       | 2 +-
 docs/reference/compute_flat_percentile_ci.html              | 2 +-
 docs/reference/compute_flat_relative_percentile_ci.html     | 2 +-
 docs/reference/compute_hierarchical_percentile_ci.html      | 2 +-
 .../compute_hierarchical_relative_percentile_ci.html        | 2 +-
 .../compute_list_vectors_hierarchical_percentile_ci.html    | 2 +-
 ...ompute_list_vectors_pair_hierarchical_percentile_ci.html | 2 +-
 docs/reference/compute_trends.html                          | 2 +-
 docs/reference/compute_vector_flat_percentile_ci.html       | 2 +-
 docs/reference/compute_vector_pair_flat_percentile_ci.html  | 2 +-
 docs/reference/expect_renaissance.html                      | 2 +-
 docs/reference/flag_outliers_global.html                    | 2 +-
 docs/reference/flag_outliers_window.html                    | 2 +-
 docs/reference/identify_vector_outliers_global.html         | 2 +-
 docs/reference/identify_vector_outliers_window.html         | 2 +-
 docs/reference/index.html                                   | 2 +-
 docs/reference/list_dimensions.html                         | 2 +-
 docs/reference/list_outliers_global.html                    | 2 +-
 docs/reference/list_outliers_group_helper.html              | 2 +-
 docs/reference/list_outliers_window.html                    | 2 +-
 docs/reference/list_regular_artifacts_by_interval.html      | 2 +-
 docs/reference/list_regular_artifacts_by_position.html      | 2 +-
 docs/reference/list_segment_boundaries.html                 | 2 +-
 docs/reference/list_segment_boundaries_group_helper.html    | 2 +-
 docs/reference/load_file_json.html                          | 2 +-
 docs/reference/load_path_json.html                          | 2 +-
 docs/reference/locate_vector_segments.html                  | 2 +-
 docs/reference/plot_default_labels.html                     | 2 +-
 docs/reference/plot_website_stripes.html                    | 2 +-
 docs/reference/plot_website_violins.html                    | 2 +-
 docs/reference/preserve_last_n.html                         | 2 +-
 docs/reference/preserve_last_sec.html                       | 2 +-
 docs/reference/remove_outliers_global.html                  | 2 +-
 docs/reference/remove_outliers_window.html                  | 2 +-
 docs/reference/report_summaries.html                        | 2 +-
 docs/reference/report_summaries_benchmark_group_helper.html | 2 +-
 docs/reference/report_summaries_vm_group_helper.html        | 2 +-
 docs/reference/rren-package.html                            | 2 +-
 docs/reference/rren_artificial.html                         | 2 +-
 docs/reference/rren_example.html                            | 2 +-
 docs/search.json                                            | 2 +-
 46 files changed, 48 insertions(+), 48 deletions(-)

diff --git a/docs/404.html b/docs/404.html
index 51d2dda..68ac3cd 100644
--- a/docs/404.html
+++ b/docs/404.html
@@ -24,7 +24,7 @@
     
     <a class="navbar-brand me-2" href="index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/LICENSE.html b/docs/LICENSE.html
index 5331d25..5df3070 100644
--- a/docs/LICENSE.html
+++ b/docs/LICENSE.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/authors.html b/docs/authors.html
index 740fb68..0ca5551 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -55,13 +55,13 @@ <h2 id="citation">Citation</h2>
 
       <p>Tuma P (2023).
 <em>rren: Renaissance Benchmark Data Processing Package</em>.
-R package version 0.0.8, https://github.com/renaissance-benchmarks/utilities-r, <a href="https://renaissance.dev/utilities-r" class="external-link">https://renaissance.dev/utilities-r</a>. 
+R package version 0.1.0, https://github.com/renaissance-benchmarks/utilities-r, <a href="https://renaissance.dev/utilities-r" class="external-link">https://renaissance.dev/utilities-r</a>. 
 </p>
       <pre>@Manual{,
   title = {rren: Renaissance Benchmark Data Processing Package},
   author = {Petr Tuma},
   year = {2023},
-  note = {R package version 0.0.8, https://github.com/renaissance-benchmarks/utilities-r},
+  note = {R package version 0.1.0, https://github.com/renaissance-benchmarks/utilities-r},
   url = {https://renaissance.dev/utilities-r},
 }</pre>
     </div>
diff --git a/docs/index.html b/docs/index.html
index f2c39ed..2b37251 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -26,7 +26,7 @@
     
     <a class="navbar-brand me-2" href="index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/assert_renaissance.html b/docs/reference/assert_renaissance.html
index 13117e6..f748fe6 100644
--- a/docs/reference/assert_renaissance.html
+++ b/docs/reference/assert_renaissance.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/check_renaissance.html b/docs/reference/check_renaissance.html
index 503f9e4..3513caf 100644
--- a/docs/reference/check_renaissance.html
+++ b/docs/reference/check_renaissance.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_flat_percentile_ci.html b/docs/reference/compute_flat_percentile_ci.html
index 9ce7e01..085eb36 100644
--- a/docs/reference/compute_flat_percentile_ci.html
+++ b/docs/reference/compute_flat_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_flat_relative_percentile_ci.html b/docs/reference/compute_flat_relative_percentile_ci.html
index 79b35d7..0133993 100644
--- a/docs/reference/compute_flat_relative_percentile_ci.html
+++ b/docs/reference/compute_flat_relative_percentile_ci.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_hierarchical_percentile_ci.html b/docs/reference/compute_hierarchical_percentile_ci.html
index 84cc5bc..2dace9b 100644
--- a/docs/reference/compute_hierarchical_percentile_ci.html
+++ b/docs/reference/compute_hierarchical_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_hierarchical_relative_percentile_ci.html b/docs/reference/compute_hierarchical_relative_percentile_ci.html
index 7a2b898..317d095 100644
--- a/docs/reference/compute_hierarchical_relative_percentile_ci.html
+++ b/docs/reference/compute_hierarchical_relative_percentile_ci.html
@@ -12,7 +12,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_list_vectors_hierarchical_percentile_ci.html b/docs/reference/compute_list_vectors_hierarchical_percentile_ci.html
index c1a05a0..9875829 100644
--- a/docs/reference/compute_list_vectors_hierarchical_percentile_ci.html
+++ b/docs/reference/compute_list_vectors_hierarchical_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html b/docs/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html
index 2fe3b36..3b572e8 100644
--- a/docs/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html
+++ b/docs/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_trends.html b/docs/reference/compute_trends.html
index bf3f2c3..8a3fe77 100644
--- a/docs/reference/compute_trends.html
+++ b/docs/reference/compute_trends.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_vector_flat_percentile_ci.html b/docs/reference/compute_vector_flat_percentile_ci.html
index db05c74..1d3f19f 100644
--- a/docs/reference/compute_vector_flat_percentile_ci.html
+++ b/docs/reference/compute_vector_flat_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/compute_vector_pair_flat_percentile_ci.html b/docs/reference/compute_vector_pair_flat_percentile_ci.html
index b9ab004..81f7797 100644
--- a/docs/reference/compute_vector_pair_flat_percentile_ci.html
+++ b/docs/reference/compute_vector_pair_flat_percentile_ci.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/expect_renaissance.html b/docs/reference/expect_renaissance.html
index ef011e6..00a00db 100644
--- a/docs/reference/expect_renaissance.html
+++ b/docs/reference/expect_renaissance.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/flag_outliers_global.html b/docs/reference/flag_outliers_global.html
index 478d750..fd175f2 100644
--- a/docs/reference/flag_outliers_global.html
+++ b/docs/reference/flag_outliers_global.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/flag_outliers_window.html b/docs/reference/flag_outliers_window.html
index 11bd429..401fc01 100644
--- a/docs/reference/flag_outliers_window.html
+++ b/docs/reference/flag_outliers_window.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/identify_vector_outliers_global.html b/docs/reference/identify_vector_outliers_global.html
index d70e869..78dfb3a 100644
--- a/docs/reference/identify_vector_outliers_global.html
+++ b/docs/reference/identify_vector_outliers_global.html
@@ -16,7 +16,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/identify_vector_outliers_window.html b/docs/reference/identify_vector_outliers_window.html
index 7210f17..ffa2554 100644
--- a/docs/reference/identify_vector_outliers_window.html
+++ b/docs/reference/identify_vector_outliers_window.html
@@ -14,7 +14,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 70aab37..7e1722a 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/list_dimensions.html b/docs/reference/list_dimensions.html
index d5a4fc1..4140a1b 100644
--- a/docs/reference/list_dimensions.html
+++ b/docs/reference/list_dimensions.html
@@ -10,7 +10,7 @@
     
     <a class="navbar-brand me-2" href="../index.html">rren</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.0.8</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.1.0</small>
 
     
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
diff --git a/docs/reference/list_outliers_global.html b/docs/reference/list_outliers_global.html
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index ea33eeb..7c964d6 100644
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index 61f2ca5..750379d 100644
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R package version 0.0.8, https://github.com/renaissance-benchmarks/utilities-r, https://renaissance.dev/utilities-r.","code":"@Manual{,   title = {rren: Renaissance Benchmark Data Processing Package},   author = {Petr Tuma},   year = {2023},   note = {R package version 0.0.8, https://github.com/renaissance-benchmarks/utilities-r},   url = {https://renaissance.dev/utilities-r}, }"},{"path":[]},{"path":"/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Renaissance Benchmark Data Processing Package","text":"rren packages various functions useful processing measurements collected using Renaissance Benchmark Suite.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Renaissance Benchmark Data Processing Package","text":"","code":"install.packages ('pak') pak::pak ('renaissance-benchmarks/utilities-r')"},{"path":"/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Renaissance Benchmark Data Processing Package","text":"simple summary report can generated JSON data Rscript -e 'rren::report_summaries ()' run data path. Use load_file_json () load_path_json () load measurement data tibble. functions support multiple measurement data file versions normalize basic timing columns easier processing.","code":"> java -jar renaissance-gpl-0.15.0.jar --json scrabble.json scrabble ====== scrabble (functional) [default], iteration 0 started ====== GC before operation: completed in 62.114 ms, heap usage 188.729 MB -> 77.885 MB. ... > Rscript -e 'rren::report_summaries (warmup = 0)' ℹ Loading data from .  ── OpenJDK 64-Bit Server VM 17.0.8+7 (cd7b7eea) ────────────────────────────────  ── scrabble ──  metric     mean                       median time        388 m (371 m - 415 m)      373 m (363 m - 392 m)  ────────────────────────────────────────────────────────────────────────────────"},{"path":"/reference/assert_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — assert_renaissance","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/assert_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"","code":"assert_renaissance(.input, .var.name = vname(.data), add = NULL, ...)"},{"path":"/reference/assert_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":".input Measurement results test. .var.name Internal. add Internal. ... Parameters check_renaissance().","code":""},{"path":"/reference/assert_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"Invisible .data exception.","code":""},{"path":[]},{"path":"/reference/check_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — check_renaissance","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/check_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"","code":"check_renaissance(   .input,   .check_index = TRUE,   .check_total = TRUE,   .check_metadata = TRUE )"},{"path":"/reference/check_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — check_renaissance","text":".input Measurement results test. .check_index Check presence index. .check_total Check presence total. .check_metadata Check presence descriptive metadata columns.","code":""},{"path":"/reference/check_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"Error message TRUE.","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"Uses compute_vector_flat_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"","code":"compute_flat_percentile_ci(.input, .column, ...)"},{"path":"/reference/compute_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":".input Data structured runs. .column Column compute confidence interval . ... Parameters compute_vector_flat_percentile_ci().","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"Uses compute_vector_pair_flat_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"","code":"compute_flat_relative_percentile_ci(.input, .baseline, .column, ...)"},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":".input Data structured runs. .baseline Baseline virtual machine. .column Column compute confidence interval . ... Parameters compute_vector_pair_flat_percentile_ci().","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"statistic computed relative baseline virtual machine.","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"Uses compute_list_vectors_hierarchical_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"","code":"compute_hierarchical_percentile_ci(.input, .column, ...)"},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":".input Data structured runs. .column Column compute confidence interval . ... Parameters compute_list_vectors_hierarchical_percentile_ci().","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"Uses compute_list_vectors_pair_hierarchical_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"","code":"compute_hierarchical_relative_percentile_ci(.input, .baseline, .column, ...)"},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":".input Data structured runs. .baseline Baseline virtual machine. .column Column compute confidence interval . ... Parameters compute_list_vectors_pair_hierarchical_percentile_ci().","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"statistic computed relative baseline virtual machine.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"Compute hierarchical percentile bootstrap confidence interval.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"","code":"compute_list_vectors_hierarchical_percentile_ci(   .input,   .statistic_outer = mean,   .statistic_inner = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":".input Data compute confidence interval . .statistic_outer Statistic apply outer level. .statistic_inner Statistic apply inner leve. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"Compute hierarchical percentile bootstrap confidence interval data set pair.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"","code":"compute_list_vectors_pair_hierarchical_percentile_ci(   .input_one,   .input_two,   .combination = .Primitive(\"-\"),   .statistic_outer = mean,   .statistic_inner = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":".input_one Data set one compute . .input_two Data set two compute . .combination Combination compute data sets. .statistic_outer Statistic compute outer level. .statistic_inner Statistic compute inner leve. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_trends.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute trends. — compute_trends","title":"Compute trends. — compute_trends","text":"Uses linear least squares regression compute trend run.","code":""},{"path":"/reference/compute_trends.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute trends. — compute_trends","text":"","code":"compute_trends(.input, .column)"},{"path":"/reference/compute_trends.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute trends. — compute_trends","text":".input Data. .column Column compute trend .","code":""},{"path":"/reference/compute_trends.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute trends. — compute_trends","text":"Summarized tibble trends column.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"Compute flat percentile bootstrap confidence interval.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"","code":"compute_vector_flat_percentile_ci(   .input,   .statistic = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":".input Data compute confidence interval . .statistic Statistic compute confidence interval . .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"Compute flat percentile bootstrap confidence interval data set pair.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"","code":"compute_vector_pair_flat_percentile_ci(   .input_one,   .input_two,   .combination = .Primitive(\"-\"),   .statistic = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":".input_one Data set one compute . .input_two Data set two compute . .combination Combination compute data sets. .statistic Statistic compute data set. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/expect_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — expect_renaissance","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/expect_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"","code":"expect_renaissance(.input, info = NULL, label = vname(.data), ...)"},{"path":"/reference/expect_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":".input Measurement results test. info Internal. label Internal. ... Parameters check_renaissance().","code":""},{"path":"/reference/expect_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"expectation.","code":""},{"path":[]},{"path":"/reference/flag_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Flag outliers. — flag_outliers_global","title":"Flag outliers. — flag_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , flags outlier rows.","code":""},{"path":"/reference/flag_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flag outliers. — flag_outliers_global","text":"","code":"flag_outliers_global(.input, .column, .flag, ...)"},{"path":"/reference/flag_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flag outliers. — flag_outliers_global","text":".input Data. .column Column identify outliers . .flag Column use flag. ... Parameters identify_vector_outliers_global().","code":""},{"path":"/reference/flag_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flag outliers. — flag_outliers_global","text":"Tibble new flag column.","code":""},{"path":"/reference/flag_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"Flag outliers using sliding window. — flag_outliers_window","title":"Flag outliers using sliding window. — flag_outliers_window","text":"Uses identify_vector_outliers_window() identify outliers given column. , flags outlier rows.","code":""},{"path":"/reference/flag_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flag outliers using sliding window. — flag_outliers_window","text":"","code":"flag_outliers_window(.input, .column, .flag, ...)"},{"path":"/reference/flag_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flag outliers using sliding window. — flag_outliers_window","text":".input Data. .column Column identify outliers . .flag Column use flag. ... Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/flag_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flag outliers using sliding window. — flag_outliers_window","text":"Tibble new flag column.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute outlier flags. — identify_vector_outliers_global","title":"Compute outlier flags. — identify_vector_outliers_global","text":"outlier detection method based quantiles permits retaining short tails. sample considered outlier outside interval computed (lo - range * slack, hi + range * slack) lo hi denoting limit 1 - limit quantiles range = hi - lo.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute outlier flags. — identify_vector_outliers_global","text":"","code":"identify_vector_outliers_global(.input, .limit = 0.05, .slack = 0.1)"},{"path":"/reference/identify_vector_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute outlier flags. — identify_vector_outliers_global","text":".input Sample vector. .limit Quantile separates inliers outliers. .slack Tolerated distance limit quantile.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute outlier flags. — identify_vector_outliers_global","text":"Boolean vector outlier flags.","code":""},{"path":[]},{"path":"/reference/identify_vector_outliers_global.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute outlier flags. — identify_vector_outliers_global","text":"","code":"# An outlier gets flagged. identify_vector_outliers_global (c (1:10, 100)) #>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  # No outlier gets flagged with short tails. identify_vector_outliers_global (1:10) #>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE"},{"path":"/reference/identify_vector_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute outlier flags using sliding window. — identify_vector_outliers_window","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"identify_vector_outliers_global() except quantile computation performed sliding window centered sample. Currently computation really efficient runs O (n*w*log (w)) window size w.","code":""},{"path":"/reference/identify_vector_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"","code":"identify_vector_outliers_window(   .input,   .window = 333,   .limit = 0.05,   .slack = 0.1 )"},{"path":"/reference/identify_vector_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":".input Sample vector. .window Window size samples. .limit Quantile separates inliers outliers. .slack Tolerated distance limit quantile.","code":""},{"path":"/reference/identify_vector_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"Boolean vector outlier flags.","code":""},{"path":[]},{"path":"/reference/identify_vector_outliers_window.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"","code":"# A sample of 100 is considered an outlier when near # different values but not when near similar values. identify_vector_outliers_window (c (100, 15:25, 95:105, 100), .window = 10) #>  [1]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE #> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE"},{"path":"/reference/list_dimensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Get dimensions. — list_dimensions","title":"Get dimensions. — list_dimensions","text":"Returns dimensions data, useful compute relative frequencies regular position identification.","code":""},{"path":"/reference/list_dimensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get dimensions. — list_dimensions","text":"","code":"list_dimensions(.input)"},{"path":"/reference/list_dimensions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get dimensions. — list_dimensions","text":".input Data.","code":""},{"path":"/reference/list_dimensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get dimensions. — list_dimensions","text":"Tibble data dimensions.","code":""},{"path":"/reference/list_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"List outliers. — list_outliers_global","title":"List outliers. — list_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List outliers. — list_outliers_global","text":"","code":"list_outliers_global(.input, .column, ...)"},{"path":"/reference/list_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List outliers. — list_outliers_global","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_global().","code":""},{"path":"/reference/list_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List outliers. — list_outliers_global","text":"Tibble outlier list.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for list outliers. — list_outliers_group_helper","title":"Group helper for list outliers. — list_outliers_group_helper","text":"Given outlier flags, index total time, returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for list outliers. — list_outliers_group_helper","text":"","code":"list_outliers_group_helper(.flags, .index, .total)"},{"path":"/reference/list_outliers_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for list outliers. — list_outliers_group_helper","text":".flags Outlier flags. .index Data index. .total Data total.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Group helper for list outliers. — list_outliers_group_helper","text":"Tibble outlier list.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Group helper for list outliers. — list_outliers_group_helper","text":"computation assumes outlier impacts single repetition, outlier interval therefore interval repetition.","code":""},{"path":"/reference/list_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"List outliers using sliding window. — list_outliers_window","title":"List outliers using sliding window. — list_outliers_window","text":"Uses identify_vector_outliers_window() identify outliers given column. , returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List outliers using sliding window. — list_outliers_window","text":"","code":"list_outliers_window(.input, .column, ...)"},{"path":"/reference/list_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List outliers using sliding window. — list_outliers_window","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/list_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List outliers using sliding window. — list_outliers_window","text":"Tibble outlier list.","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"Identifies regular occurrences list artifact positions intervals. artifact considered regular appears interval certain minimum share runs.","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"","code":"list_regular_artifacts_by_interval(   .artifacts,   .dimensions,   .min_share = 2/3,   .min_runs = 11 )"},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":".artifacts Artifact positions intervals. .dimensions Data dimensions compute share . .min_share Minimum share runs identify regular artifacts. .min_runs Minimum count runs compute share .","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"Tibble regular artifacts list.","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"Identifies regular occurrences list artifact positions intervals. artifact considered regular appears position certain minimum share runs.","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"","code":"list_regular_artifacts_by_position(   .artifacts,   .dimensions,   .min_share = 2/3,   .min_runs = 11 )"},{"path":"/reference/list_regular_artifacts_by_position.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":".artifacts Artifact positions intervals. .dimensions Data dimensions compute share . .min_share Minimum share runs identify regular artifacts. .min_runs Minimum count runs compute share .","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"Tibble regular artifacts list.","code":""},{"path":"/reference/list_segment_boundaries.html","id":null,"dir":"Reference","previous_headings":"","what":"List segment boundaries. — list_segment_boundaries","title":"List segment boundaries. — list_segment_boundaries","text":"Uses locate_vector_segments() identify segments given column. , returns list segment boundary positions intervals.","code":""},{"path":"/reference/list_segment_boundaries.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List segment boundaries. — list_segment_boundaries","text":"","code":"list_segment_boundaries(.input, .column, ...)"},{"path":"/reference/list_segment_boundaries.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List segment boundaries. — list_segment_boundaries","text":".input Data. .column Column identify segments . ... Parameters locate_vector_segments().","code":""},{"path":"/reference/list_segment_boundaries.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List segment boundaries. — list_segment_boundaries","text":"Tibble segment boundary list.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"Given segment positions, index total time, returns list segment boundary positions intervals.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"","code":"list_segment_boundaries_group_helper(.positions, .index, .total)"},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":".positions Segment positions. .index Data index. .total Data total.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"Tibble segment boundary list.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"computation assumes segment boundary exists either boundary repetition, boundary interval therefore formed mid points two repetitions, arguing less half boundary repetition impacted (otherwise segments assigned differently). Head tail boundaries included.","code":""},{"path":"/reference/load_file_json.html","id":null,"dir":"Reference","previous_headings":"","what":"Load data from given file. — load_file_json","title":"Load data from given file. — load_file_json","text":"Load data given file.","code":""},{"path":"/reference/load_file_json.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load data from given file. — load_file_json","text":"","code":"load_file_json(data_file)"},{"path":"/reference/load_file_json.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load data from given file. — load_file_json","text":"data_file Data file load .","code":""},{"path":"/reference/load_file_json.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load data from given file. — load_file_json","text":"Tibble loaded data.","code":""},{"path":"/reference/load_file_json.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Load data from given file. — load_file_json","text":"basic timing columns translated canonical form: time contain individual repetition time seconds total contain aggregate execution time end repetition seconds index contain index measurement run starting 1 Additional metadata included factor columns: vm hash configuration metadata can used distinguish incompatible measurement configurations vm_name name virtual machine vm_version version virtual machine vm_configuration gives concatenated command line arguments run unique identifier run benchmark name benchmark","code":""},{"path":[]},{"path":"/reference/load_file_json.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load data from given file. — load_file_json","text":"","code":"load_file_json (rren_example ('results-small-version-5.json')) #> # A tibble: 6 × 9 #>   index  time total vm_name    vm_version vm_configuration run   vm    benchmark #>   <int> <dbl> <dbl> <fct>      <fct>      <fct>            <fct> <fct> <fct>     #> 1     1  5.41  10.4 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 2     2  2.45  14.9 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 3     3  2.33  18.5 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 4     1  7.80  30.3 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 5     2  1.43  31.7 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 6     3  1.28  33.0 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba…"},{"path":"/reference/load_path_json.html","id":null,"dir":"Reference","previous_headings":"","what":"Load data from given path recursively. — load_path_json","title":"Load data from given path recursively. — load_path_json","text":"Load data given path recursively.","code":""},{"path":"/reference/load_path_json.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load data from given path recursively. — load_path_json","text":"","code":"load_path_json(   data_path,   pattern = \"\\\\.json(|\\\\.gz|\\\\.xz|\\\\.bz2)$\",   cache = NULL )"},{"path":"/reference/load_path_json.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load data from given path recursively. — load_path_json","text":"data_path Data path load . pattern Regular expression pattern match. cache File name use data cache.","code":""},{"path":"/reference/load_path_json.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load data from given path recursively. — load_path_json","text":"Tibble loaded data.","code":""},{"path":[]},{"path":"/reference/load_path_json.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load data from given path recursively. — load_path_json","text":"","code":"load_path_json (rren_example (), pattern = '^results-small-version-[0-9]+\\\\.json$') #> # A tibble: 18 × 9 #>    index  time total vm_name   vm_version vm_configuration run   vm    benchmark #>    <int> <dbl> <dbl> <fct>     <fct>      <fct>            <fct> <fct> <fct>     #>  1     1  7.56  7.56 OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  2     2  5.47 13.0  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  3     3  5.20 18.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  4     1 19.2  19.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  5     2  2.76 21.9  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  6     3  2.77 24.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  7     1  7.91  7.91 OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  8     2  5.75 13.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  9     3  5.51 19.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #> 10     1 21.7  21.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 11     2  2.97 24.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 12     3  2.88 27.6  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 13     1  5.41 10.4  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 14     2  2.45 14.9  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 15     3  2.33 18.5  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 16     1  7.80 30.3  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 17     2  1.43 31.7  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 18     3  1.28 33.0  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba…"},{"path":"/reference/locate_vector_segments.html","id":null,"dir":"Reference","previous_headings":"","what":"Locate change point segments in samples. — locate_vector_segments","title":"Locate change point segments in samples. — locate_vector_segments","text":"Treats samples segments separated change points. Returns indices first sample segment.","code":""},{"path":"/reference/locate_vector_segments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Locate change point segments in samples. — locate_vector_segments","text":"","code":"locate_vector_segments(.input, .penalty)"},{"path":"/reference/locate_vector_segments.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Locate change point segments in samples. — locate_vector_segments","text":".input Measurement results analyze. .penalty numerical penalty barrett penalty computation Barrett et al..","code":""},{"path":"/reference/locate_vector_segments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Locate change point segments in samples. — locate_vector_segments","text":"Vector segment starting points.","code":""},{"path":"/reference/locate_vector_segments.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Locate change point segments in samples. — locate_vector_segments","text":"Relies PELT algorithm implementation changepoint::cpt.meanvar() function.","code":""},{"path":"/reference/plot_default_labels.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare default plot labels. — plot_default_labels","title":"Prepare default plot labels. — plot_default_labels","text":"Prepare default plot labels.","code":""},{"path":"/reference/plot_default_labels.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare default plot labels. — plot_default_labels","text":"","code":"plot_default_labels(data)"},{"path":"/reference/plot_default_labels.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare default plot labels. — plot_default_labels","text":"data Data generate labels .","code":""},{"path":"/reference/plot_default_labels.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare default plot labels. — plot_default_labels","text":"Tibble default plot labels.","code":""},{"path":"/reference/plot_website_stripes.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot stripe image used on benchmark website. — plot_website_stripes","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"Plot stripe image used benchmark website.","code":""},{"path":"/reference/plot_website_stripes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"","code":"plot_website_stripes(input = \".\", warmup = 5 * 60, labels = \"labels.csv\")"},{"path":"/reference/plot_website_stripes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"input Data path data tibble summarize. warmup Duration discard warm time. labels Labels file labels tibble.","code":""},{"path":"/reference/plot_website_stripes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"","code":"data <- load_path_json (rren_example ()) # Edit labels manually to provide JDK version. labels <- plot_default_labels (data) plot_website_stripes (data, labels = labels)"},{"path":"/reference/plot_website_violins.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot violin image used on benchmark website. — plot_website_violins","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"Plot violin image used benchmark website.","code":""},{"path":"/reference/plot_website_violins.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"","code":"plot_website_violins(input = \".\", warmup = 5 * 60, labels = \"labels.csv\")"},{"path":"/reference/plot_website_violins.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"input Data path data tibble summarize. warmup Duration discard warm time. labels Labels file labels tibble.","code":""},{"path":"/reference/plot_website_violins.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"","code":"data <- load_path_json (rren_example ()) # Edit labels manually to provide JDK version. labels <- plot_default_labels (data) plot_website_violins (data, labels = labels)"},{"path":"/reference/preserve_last_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Preserve last samples in each run by count. — preserve_last_n","title":"Preserve last samples in each run by count. — preserve_last_n","text":"Useful extracting set representative samples run, assuming last part run representative. Can specify maximum share samples function preserves. Runs fewer samples removed entirely.","code":""},{"path":"/reference/preserve_last_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preserve last samples in each run by count. — preserve_last_n","text":"","code":"preserve_last_n(.input, .n, .max_share = 0.5)"},{"path":"/reference/preserve_last_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preserve last samples in each run by count. — preserve_last_n","text":".input Measurement results filter. .n many samples taken end preserve. .max_share Maximum share samples preserve.","code":""},{"path":"/reference/preserve_last_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preserve last samples in each run by count. — preserve_last_n","text":"Filtered measurement results.","code":""},{"path":"/reference/preserve_last_sec.html","id":null,"dir":"Reference","previous_headings":"","what":"Preserve last samples in each run by time. — preserve_last_sec","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"Useful extracting set representative samples run, assuming last part run representative. Can specify maximum share samples function preserves. Runs fewer samples removed entirely.","code":""},{"path":"/reference/preserve_last_sec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"","code":"preserve_last_sec(.input, .sec, .max_share = 0.5, .equal_count_per_run = FALSE)"},{"path":"/reference/preserve_last_sec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preserve last samples in each run by time. — preserve_last_sec","text":".input Measurement results filter. .sec old samples taken end preserve. .max_share Maximum share samples preserve. .equal_count_per_run Make sample count per run equal.","code":""},{"path":"/reference/preserve_last_sec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"Filtered measurement results.","code":""},{"path":"/reference/preserve_last_sec.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"equal sample count per run requested, chosen median sample count.","code":""},{"path":"/reference/remove_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove outliers. — remove_outliers_global","title":"Remove outliers. — remove_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , removes outlier rows.","code":""},{"path":"/reference/remove_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove outliers. — remove_outliers_global","text":"","code":"remove_outliers_global(.input, .column, ...)"},{"path":"/reference/remove_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove outliers. — remove_outliers_global","text":".input Data. .column Column identify outliers . ... 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Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/remove_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove outliers using sliding window. — remove_outliers_window","text":"Tibble rows filtered.","code":""},{"path":"/reference/report_summaries.html","id":null,"dir":"Reference","previous_headings":"","what":"Report result summaries. — report_summaries","title":"Report result summaries. — report_summaries","text":"Generates result summaries human consumption.","code":""},{"path":"/reference/report_summaries.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Report result summaries. — report_summaries","text":"","code":"report_summaries(input = \".\", warmup = 5 * 60)"},{"path":"/reference/report_summaries.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Report result summaries. — report_summaries","text":"input Data path data tibble summarize. warmup Duration discard warm time.","code":""},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"Group helper report result summaries.","code":""},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"","code":"report_summaries_benchmark_group_helper(group, key)"},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"group Single benchmark group report . key Group key information.","code":""},{"path":"/reference/report_summaries_vm_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for report result summaries. — report_summaries_vm_group_helper","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"Group helper report result summaries.","code":""},{"path":"/reference/report_summaries_vm_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"","code":"report_summaries_vm_group_helper(group, key)"},{"path":"/reference/report_summaries_vm_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"group Single virtual machine group report . key Group key information.","code":""},{"path":"/reference/rren-package.html","id":null,"dir":"Reference","previous_headings":"","what":"rren: Renaissance Benchmark Data Processing Package — rren-package","title":"rren: Renaissance Benchmark Data Processing Package — rren-package","text":"utility package processing data produced Renaissance benchmark suite (https://renaissance.dev).","code":""},{"path":[]},{"path":"/reference/rren-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rren: Renaissance Benchmark Data Processing Package — rren-package","text":"Maintainer: Petr Tuma petr.tuma@d3s.mff.cuni.cz (ORCID)","code":""},{"path":"/reference/rren_artificial.html","id":null,"dir":"Reference","previous_headings":"","what":"Return data frame with artificial data. — rren_artificial","title":"Return data frame with artificial data. — rren_artificial","text":"Data use run . result tibble arranged first iterate runs, benchmarks, virtual machines. guarantee useful difference runs injected later.","code":""},{"path":"/reference/rren_artificial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return data frame with artificial data. — rren_artificial","text":"","code":"rren_artificial(data, run_count = 1L, benchmark_count = 1L, vm_count = 1L)"},{"path":"/reference/rren_artificial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return data frame with artificial data. — rren_artificial","text":"data Data use run. run_count Count run combinations generate per virtual machine benchmark. benchmark_count Count benchmark combinations generate per virtual machine. vm_count Count virtual machine combinations generate.","code":""},{"path":"/reference/rren_artificial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return data frame with artificial data. — rren_artificial","text":"data Tibble artificial 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Definitions","title":"Apache License","text":"“License” shall mean terms conditions use, reproduction, distribution defined Sections 1 9 document. “Licensor” shall mean copyright owner entity authorized copyright owner granting License. “Legal Entity” shall mean union acting entity entities control, controlled , common control entity. purposes definition, “control” means () power, direct indirect, cause direction management entity, whether contract otherwise, (ii) ownership fifty percent (50%) outstanding shares, (iii) beneficial ownership entity. “” (“”) shall mean individual Legal Entity exercising permissions granted License. “Source” form shall mean preferred form making modifications, including limited software source code, documentation source, configuration files. “Object” form shall mean form resulting mechanical transformation translation Source form, including limited compiled object code, generated documentation, conversions media types. “Work” shall mean work authorship, whether Source Object form, made available License, indicated copyright notice included attached work (example provided Appendix ). “Derivative Works” shall mean work, whether Source Object form, based (derived ) Work editorial revisions, annotations, elaborations, modifications represent, whole, original work authorship. purposes License, Derivative Works shall include works remain separable , merely link (bind name) interfaces , Work Derivative Works thereof. “Contribution” shall mean work authorship, including original version Work modifications additions Work Derivative Works thereof, intentionally submitted Licensor inclusion Work copyright owner individual Legal Entity authorized submit behalf copyright owner. purposes definition, “submitted” means form electronic, verbal, written communication sent Licensor representatives, including limited communication electronic mailing lists, source code control systems, issue tracking systems managed , behalf , Licensor purpose discussing improving Work, excluding communication conspicuously marked otherwise designated writing copyright owner “Contribution.” “Contributor” shall mean Licensor individual Legal Entity behalf Contribution received Licensor subsequently incorporated within Work.","code":""},{"path":"/LICENSE.html","id":"2-grant-of-copyright-license","dir":"","previous_headings":"Terms and Conditions for use, reproduction, and distribution","what":"2. 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Limitation of Liability","title":"Apache License","text":"event legal theory, whether tort (including negligence), contract, otherwise, unless required applicable law (deliberate grossly negligent acts) agreed writing, shall Contributor liable damages, including direct, indirect, special, incidental, consequential damages character arising result License use inability use Work (including limited damages loss goodwill, work stoppage, computer failure malfunction, commercial damages losses), even Contributor advised possibility damages.","code":""},{"path":"/LICENSE.html","id":"9-accepting-warranty-or-additional-liability","dir":"","previous_headings":"Terms and Conditions for use, reproduction, and distribution","what":"9. Accepting Warranty or Additional Liability","title":"Apache License","text":"redistributing Work Derivative Works thereof, may choose offer, charge fee , acceptance support, warranty, indemnity, liability obligations /rights consistent License. However, accepting obligations, may act behalf sole responsibility, behalf Contributor, agree indemnify, defend, hold Contributor harmless liability incurred , claims asserted , Contributor reason accepting warranty additional liability. END TERMS CONDITIONS","code":""},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Petr Tuma. Author, maintainer.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Tuma P (2023). rren: Renaissance Benchmark Data Processing Package. R package version 0.1.0, https://github.com/renaissance-benchmarks/utilities-r, https://renaissance.dev/utilities-r.","code":"@Manual{,   title = {rren: Renaissance Benchmark Data Processing Package},   author = {Petr Tuma},   year = {2023},   note = {R package version 0.1.0, https://github.com/renaissance-benchmarks/utilities-r},   url = {https://renaissance.dev/utilities-r}, }"},{"path":[]},{"path":"/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Renaissance Benchmark Data Processing Package","text":"rren packages various functions useful processing measurements collected using Renaissance Benchmark Suite.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Renaissance Benchmark Data Processing Package","text":"","code":"install.packages ('pak') pak::pak ('renaissance-benchmarks/utilities-r')"},{"path":"/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Renaissance Benchmark Data Processing Package","text":"simple summary report can generated JSON data Rscript -e 'rren::report_summaries ()' run data path. Use load_file_json () load_path_json () load measurement data tibble. functions support multiple measurement data file versions normalize basic timing columns easier processing.","code":"> java -jar renaissance-gpl-0.15.0.jar --json scrabble.json scrabble ====== scrabble (functional) [default], iteration 0 started ====== GC before operation: completed in 62.114 ms, heap usage 188.729 MB -> 77.885 MB. ... > Rscript -e 'rren::report_summaries (warmup = 0)' ℹ Loading data from .  ── OpenJDK 64-Bit Server VM 17.0.8+7 (cd7b7eea) ────────────────────────────────  ── scrabble ──  metric     mean                       median time        388 m (371 m - 415 m)      373 m (363 m - 392 m)  ────────────────────────────────────────────────────────────────────────────────"},{"path":"/reference/assert_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — assert_renaissance","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/assert_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"","code":"assert_renaissance(.input, .var.name = vname(.data), add = NULL, ...)"},{"path":"/reference/assert_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":".input Measurement results test. .var.name Internal. add Internal. ... Parameters check_renaissance().","code":""},{"path":"/reference/assert_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — assert_renaissance","text":"Invisible .data exception.","code":""},{"path":[]},{"path":"/reference/check_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — check_renaissance","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/check_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"","code":"check_renaissance(   .input,   .check_index = TRUE,   .check_total = TRUE,   .check_metadata = TRUE )"},{"path":"/reference/check_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — check_renaissance","text":".input Measurement results test. .check_index Check presence index. .check_total Check presence total. .check_metadata Check presence descriptive metadata columns.","code":""},{"path":"/reference/check_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — check_renaissance","text":"Error message TRUE.","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"Uses compute_vector_flat_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"","code":"compute_flat_percentile_ci(.input, .column, ...)"},{"path":"/reference/compute_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":".input Data structured runs. .column Column compute confidence interval . ... Parameters compute_vector_flat_percentile_ci().","code":""},{"path":"/reference/compute_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval. — compute_flat_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"Uses compute_vector_pair_flat_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"","code":"compute_flat_relative_percentile_ci(.input, .baseline, .column, ...)"},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":".input Data structured runs. .baseline Baseline virtual machine. .column Column compute confidence interval . ... Parameters compute_vector_pair_flat_percentile_ci().","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_flat_relative_percentile_ci.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute flat relative percentile bootstrap confidence interval. — compute_flat_relative_percentile_ci","text":"statistic computed relative baseline virtual machine.","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"Uses compute_list_vectors_hierarchical_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"","code":"compute_hierarchical_percentile_ci(.input, .column, ...)"},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":".input Data structured runs. .column Column compute confidence interval . ... Parameters compute_list_vectors_hierarchical_percentile_ci().","code":""},{"path":"/reference/compute_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_hierarchical_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"Uses compute_list_vectors_pair_hierarchical_percentile_ci() compute percentile confidence interval data structured runs.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"","code":"compute_hierarchical_relative_percentile_ci(.input, .baseline, .column, ...)"},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":".input Data structured runs. .baseline Baseline virtual machine. .column Column compute confidence interval . ... Parameters compute_list_vectors_pair_hierarchical_percentile_ci().","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"Summarized tibble confidence interval columns.","code":""},{"path":"/reference/compute_hierarchical_relative_percentile_ci.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Compute hierarchical relative percentile bootstrap confidence interval. — compute_hierarchical_relative_percentile_ci","text":"statistic computed relative baseline virtual machine.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"Compute hierarchical percentile bootstrap confidence interval.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"","code":"compute_list_vectors_hierarchical_percentile_ci(   .input,   .statistic_outer = mean,   .statistic_inner = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":".input Data compute confidence interval . .statistic_outer Statistic apply outer level. .statistic_inner Statistic apply inner leve. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_list_vectors_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval. — compute_list_vectors_hierarchical_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"Compute hierarchical percentile bootstrap confidence interval data set pair.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"","code":"compute_list_vectors_pair_hierarchical_percentile_ci(   .input_one,   .input_two,   .combination = .Primitive(\"-\"),   .statistic_outer = mean,   .statistic_inner = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":".input_one Data set one compute . .input_two Data set two compute . .combination Combination compute data sets. .statistic_outer Statistic compute outer level. .statistic_inner Statistic compute inner leve. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_list_vectors_pair_hierarchical_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute hierarchical percentile bootstrap confidence interval on data set pair. — compute_list_vectors_pair_hierarchical_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_trends.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute trends. — compute_trends","title":"Compute trends. — compute_trends","text":"Uses linear least squares regression compute trend run.","code":""},{"path":"/reference/compute_trends.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute trends. — compute_trends","text":"","code":"compute_trends(.input, .column)"},{"path":"/reference/compute_trends.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute trends. — compute_trends","text":".input Data. .column Column compute trend .","code":""},{"path":"/reference/compute_trends.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute trends. — compute_trends","text":"Summarized tibble trends column.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"Compute flat percentile bootstrap confidence interval.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"","code":"compute_vector_flat_percentile_ci(   .input,   .statistic = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":".input Data compute confidence interval . .statistic Statistic compute confidence interval . .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_vector_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval. — compute_vector_flat_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"Compute flat percentile bootstrap confidence interval data set pair.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"","code":"compute_vector_pair_flat_percentile_ci(   .input_one,   .input_two,   .combination = .Primitive(\"-\"),   .statistic = mean,   .confidence = 0.99,   .R = 10000,   .reduction = 0 )"},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":".input_one Data set one compute . .input_two Data set two compute . .combination Combination compute data sets. .statistic Statistic compute data set. .confidence Confidence level. .R Number replicates. .reduction Replicate size reduction.","code":""},{"path":"/reference/compute_vector_pair_flat_percentile_ci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute flat percentile bootstrap confidence interval on data set pair. — compute_vector_pair_flat_percentile_ci","text":"Tibble confidence interval.","code":""},{"path":"/reference/expect_renaissance.html","id":null,"dir":"Reference","previous_headings":"","what":"Check whether data resembles typical measurement results. — expect_renaissance","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"Check whether data resembles typical measurement results.","code":""},{"path":"/reference/expect_renaissance.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"","code":"expect_renaissance(.input, info = NULL, label = vname(.data), ...)"},{"path":"/reference/expect_renaissance.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":".input Measurement results test. info Internal. label Internal. ... Parameters check_renaissance().","code":""},{"path":"/reference/expect_renaissance.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Check whether data resembles typical measurement results. — expect_renaissance","text":"expectation.","code":""},{"path":[]},{"path":"/reference/flag_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Flag outliers. — flag_outliers_global","title":"Flag outliers. — flag_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , flags outlier rows.","code":""},{"path":"/reference/flag_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flag outliers. — flag_outliers_global","text":"","code":"flag_outliers_global(.input, .column, .flag, ...)"},{"path":"/reference/flag_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flag outliers. — flag_outliers_global","text":".input Data. .column Column identify outliers . .flag Column use flag. ... Parameters identify_vector_outliers_global().","code":""},{"path":"/reference/flag_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flag outliers. — flag_outliers_global","text":"Tibble new flag column.","code":""},{"path":"/reference/flag_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"Flag outliers using sliding window. — flag_outliers_window","title":"Flag outliers using sliding window. — flag_outliers_window","text":"Uses identify_vector_outliers_window() identify outliers given column. , flags outlier rows.","code":""},{"path":"/reference/flag_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Flag outliers using sliding window. — flag_outliers_window","text":"","code":"flag_outliers_window(.input, .column, .flag, ...)"},{"path":"/reference/flag_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Flag outliers using sliding window. — flag_outliers_window","text":".input Data. .column Column identify outliers . .flag Column use flag. ... Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/flag_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Flag outliers using sliding window. — flag_outliers_window","text":"Tibble new flag column.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute outlier flags. — identify_vector_outliers_global","title":"Compute outlier flags. — identify_vector_outliers_global","text":"outlier detection method based quantiles permits retaining short tails. sample considered outlier outside interval computed (lo - range * slack, hi + range * slack) lo hi denoting limit 1 - limit quantiles range = hi - lo.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute outlier flags. — identify_vector_outliers_global","text":"","code":"identify_vector_outliers_global(.input, .limit = 0.05, .slack = 0.1)"},{"path":"/reference/identify_vector_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute outlier flags. — identify_vector_outliers_global","text":".input Sample vector. .limit Quantile separates inliers outliers. .slack Tolerated distance limit quantile.","code":""},{"path":"/reference/identify_vector_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute outlier flags. — identify_vector_outliers_global","text":"Boolean vector outlier flags.","code":""},{"path":[]},{"path":"/reference/identify_vector_outliers_global.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute outlier flags. — identify_vector_outliers_global","text":"","code":"# An outlier gets flagged. identify_vector_outliers_global (c (1:10, 100)) #>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  # No outlier gets flagged with short tails. identify_vector_outliers_global (1:10) #>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE"},{"path":"/reference/identify_vector_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"Compute outlier flags using sliding window. — identify_vector_outliers_window","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"identify_vector_outliers_global() except quantile computation performed sliding window centered sample. Currently computation really efficient runs O (n*w*log (w)) window size w.","code":""},{"path":"/reference/identify_vector_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"","code":"identify_vector_outliers_window(   .input,   .window = 333,   .limit = 0.05,   .slack = 0.1 )"},{"path":"/reference/identify_vector_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":".input Sample vector. .window Window size samples. .limit Quantile separates inliers outliers. .slack Tolerated distance limit quantile.","code":""},{"path":"/reference/identify_vector_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"Boolean vector outlier flags.","code":""},{"path":[]},{"path":"/reference/identify_vector_outliers_window.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compute outlier flags using sliding window. — identify_vector_outliers_window","text":"","code":"# A sample of 100 is considered an outlier when near # different values but not when near similar values. identify_vector_outliers_window (c (100, 15:25, 95:105, 100), .window = 10) #>  [1]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE #> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE"},{"path":"/reference/list_dimensions.html","id":null,"dir":"Reference","previous_headings":"","what":"Get dimensions. — list_dimensions","title":"Get dimensions. — list_dimensions","text":"Returns dimensions data, useful compute relative frequencies regular position identification.","code":""},{"path":"/reference/list_dimensions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get dimensions. — list_dimensions","text":"","code":"list_dimensions(.input)"},{"path":"/reference/list_dimensions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get dimensions. — list_dimensions","text":".input Data.","code":""},{"path":"/reference/list_dimensions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get dimensions. — list_dimensions","text":"Tibble data dimensions.","code":""},{"path":"/reference/list_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"List outliers. — list_outliers_global","title":"List outliers. — list_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List outliers. — list_outliers_global","text":"","code":"list_outliers_global(.input, .column, ...)"},{"path":"/reference/list_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List outliers. — list_outliers_global","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_global().","code":""},{"path":"/reference/list_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List outliers. — list_outliers_global","text":"Tibble outlier list.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for list outliers. — list_outliers_group_helper","title":"Group helper for list outliers. — list_outliers_group_helper","text":"Given outlier flags, index total time, returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for list outliers. — list_outliers_group_helper","text":"","code":"list_outliers_group_helper(.flags, .index, .total)"},{"path":"/reference/list_outliers_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for list outliers. — list_outliers_group_helper","text":".flags Outlier flags. .index Data index. .total Data total.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Group helper for list outliers. — list_outliers_group_helper","text":"Tibble outlier list.","code":""},{"path":"/reference/list_outliers_group_helper.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Group helper for list outliers. — list_outliers_group_helper","text":"computation assumes outlier impacts single repetition, outlier interval therefore interval repetition.","code":""},{"path":"/reference/list_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"List outliers using sliding window. — list_outliers_window","title":"List outliers using sliding window. — list_outliers_window","text":"Uses identify_vector_outliers_window() identify outliers given column. , returns list outlier positions intervals.","code":""},{"path":"/reference/list_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List outliers using sliding window. — list_outliers_window","text":"","code":"list_outliers_window(.input, .column, ...)"},{"path":"/reference/list_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List outliers using sliding window. — list_outliers_window","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/list_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List outliers using sliding window. — list_outliers_window","text":"Tibble outlier list.","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"Identifies regular occurrences list artifact positions intervals. artifact considered regular appears interval certain minimum share runs.","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"","code":"list_regular_artifacts_by_interval(   .artifacts,   .dimensions,   .min_share = 2/3,   .min_runs = 11 )"},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":".artifacts Artifact positions intervals. .dimensions Data dimensions compute share . .min_share Minimum share runs identify regular artifacts. .min_runs Minimum count runs compute share .","code":""},{"path":"/reference/list_regular_artifacts_by_interval.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify regular occurrences based on intervals. — list_regular_artifacts_by_interval","text":"Tibble regular artifacts list.","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":null,"dir":"Reference","previous_headings":"","what":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"Identifies regular occurrences list artifact positions intervals. artifact considered regular appears position certain minimum share runs.","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"","code":"list_regular_artifacts_by_position(   .artifacts,   .dimensions,   .min_share = 2/3,   .min_runs = 11 )"},{"path":"/reference/list_regular_artifacts_by_position.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":".artifacts Artifact positions intervals. .dimensions Data dimensions compute share . .min_share Minimum share runs identify regular artifacts. .min_runs Minimum count runs compute share .","code":""},{"path":"/reference/list_regular_artifacts_by_position.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Identify regular occurrences based on position. — list_regular_artifacts_by_position","text":"Tibble regular artifacts list.","code":""},{"path":"/reference/list_segment_boundaries.html","id":null,"dir":"Reference","previous_headings":"","what":"List segment boundaries. — list_segment_boundaries","title":"List segment boundaries. — list_segment_boundaries","text":"Uses locate_vector_segments() identify segments given column. , returns list segment boundary positions intervals.","code":""},{"path":"/reference/list_segment_boundaries.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List segment boundaries. — list_segment_boundaries","text":"","code":"list_segment_boundaries(.input, .column, ...)"},{"path":"/reference/list_segment_boundaries.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"List segment boundaries. — list_segment_boundaries","text":".input Data. .column Column identify segments . ... Parameters locate_vector_segments().","code":""},{"path":"/reference/list_segment_boundaries.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"List segment boundaries. — list_segment_boundaries","text":"Tibble segment boundary list.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"Given segment positions, index total time, returns list segment boundary positions intervals.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"","code":"list_segment_boundaries_group_helper(.positions, .index, .total)"},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":".positions Segment positions. .index Data index. .total Data total.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"Tibble segment boundary list.","code":""},{"path":"/reference/list_segment_boundaries_group_helper.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Group helper for list segment boundaries. — list_segment_boundaries_group_helper","text":"computation assumes segment boundary exists either boundary repetition, boundary interval therefore formed mid points two repetitions, arguing less half boundary repetition impacted (otherwise segments assigned differently). Head tail boundaries included.","code":""},{"path":"/reference/load_file_json.html","id":null,"dir":"Reference","previous_headings":"","what":"Load data from given file. — load_file_json","title":"Load data from given file. — load_file_json","text":"Load data given file.","code":""},{"path":"/reference/load_file_json.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load data from given file. — load_file_json","text":"","code":"load_file_json(data_file)"},{"path":"/reference/load_file_json.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load data from given file. — load_file_json","text":"data_file Data file load .","code":""},{"path":"/reference/load_file_json.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load data from given file. — load_file_json","text":"Tibble loaded data.","code":""},{"path":"/reference/load_file_json.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Load data from given file. — load_file_json","text":"basic timing columns translated canonical form: time contain individual repetition time seconds total contain aggregate execution time end repetition seconds index contain index measurement run starting 1 Additional metadata included factor columns: vm hash configuration metadata can used distinguish incompatible measurement configurations vm_name name virtual machine vm_version version virtual machine vm_configuration gives concatenated command line arguments run unique identifier run benchmark name benchmark","code":""},{"path":[]},{"path":"/reference/load_file_json.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load data from given file. — load_file_json","text":"","code":"load_file_json (rren_example ('results-small-version-5.json')) #> # A tibble: 6 × 9 #>   index  time total vm_name    vm_version vm_configuration run   vm    benchmark #>   <int> <dbl> <dbl> <fct>      <fct>      <fct>            <fct> <fct> <fct>     #> 1     1  5.41  10.4 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 2     2  2.45  14.9 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 3     3  2.33  18.5 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… page-rank #> 4     1  7.80  30.3 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 5     2  1.43  31.7 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 6     3  1.28  33.0 OpenJDK 6… 17.0.3+7   \"\"               /hom… cec0… naive-ba…"},{"path":"/reference/load_path_json.html","id":null,"dir":"Reference","previous_headings":"","what":"Load data from given path recursively. — load_path_json","title":"Load data from given path recursively. — load_path_json","text":"Load data given path recursively.","code":""},{"path":"/reference/load_path_json.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Load data from given path recursively. — load_path_json","text":"","code":"load_path_json(   data_path,   pattern = \"\\\\.json(|\\\\.gz|\\\\.xz|\\\\.bz2)$\",   cache = NULL )"},{"path":"/reference/load_path_json.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Load data from given path recursively. — load_path_json","text":"data_path Data path load . pattern Regular expression pattern match. cache File name use data cache.","code":""},{"path":"/reference/load_path_json.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Load data from given path recursively. — load_path_json","text":"Tibble loaded data.","code":""},{"path":[]},{"path":"/reference/load_path_json.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Load data from given path recursively. — load_path_json","text":"","code":"load_path_json (rren_example (), pattern = '^results-small-version-[0-9]+\\\\.json$') #> # A tibble: 18 × 9 #>    index  time total vm_name   vm_version vm_configuration run   vm    benchmark #>    <int> <dbl> <dbl> <fct>     <fct>      <fct>            <fct> <fct> <fct>     #>  1     1  7.56  7.56 OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  2     2  5.47 13.0  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  3     3  5.20 18.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  4     1 19.2  19.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  5     2  2.76 21.9  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  6     3  2.77 24.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #>  7     1  7.91  7.91 OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  8     2  5.75 13.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #>  9     3  5.51 19.2  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… naive-ba… #> 10     1 21.7  21.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 11     2  2.97 24.7  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 12     3  2.88 27.6  OpenJDK … 25.332-b09 \"\"               /hom… 39b0… page-rank #> 13     1  5.41 10.4  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 14     2  2.45 14.9  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 15     3  2.33 18.5  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… page-rank #> 16     1  7.80 30.3  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 17     2  1.43 31.7  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba… #> 18     3  1.28 33.0  OpenJDK … 17.0.3+7   \"\"               /hom… cec0… naive-ba…"},{"path":"/reference/locate_vector_segments.html","id":null,"dir":"Reference","previous_headings":"","what":"Locate change point segments in samples. — locate_vector_segments","title":"Locate change point segments in samples. — locate_vector_segments","text":"Treats samples segments separated change points. Returns indices first sample segment.","code":""},{"path":"/reference/locate_vector_segments.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Locate change point segments in samples. — locate_vector_segments","text":"","code":"locate_vector_segments(.input, .penalty)"},{"path":"/reference/locate_vector_segments.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Locate change point segments in samples. — locate_vector_segments","text":".input Measurement results analyze. .penalty numerical penalty barrett penalty computation Barrett et al..","code":""},{"path":"/reference/locate_vector_segments.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Locate change point segments in samples. — locate_vector_segments","text":"Vector segment starting points.","code":""},{"path":"/reference/locate_vector_segments.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Locate change point segments in samples. — locate_vector_segments","text":"Relies PELT algorithm implementation changepoint::cpt.meanvar() function.","code":""},{"path":"/reference/plot_default_labels.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare default plot labels. — plot_default_labels","title":"Prepare default plot labels. — plot_default_labels","text":"Prepare default plot labels.","code":""},{"path":"/reference/plot_default_labels.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare default plot labels. — plot_default_labels","text":"","code":"plot_default_labels(data)"},{"path":"/reference/plot_default_labels.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare default plot labels. — plot_default_labels","text":"data Data generate labels .","code":""},{"path":"/reference/plot_default_labels.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare default plot labels. — plot_default_labels","text":"Tibble default plot labels.","code":""},{"path":"/reference/plot_website_stripes.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot stripe image used on benchmark website. — plot_website_stripes","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"Plot stripe image used benchmark website.","code":""},{"path":"/reference/plot_website_stripes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"","code":"plot_website_stripes(input = \".\", warmup = 5 * 60, labels = \"labels.csv\")"},{"path":"/reference/plot_website_stripes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"input Data path data tibble summarize. warmup Duration discard warm time. labels Labels file labels tibble.","code":""},{"path":"/reference/plot_website_stripes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot stripe image used on benchmark website. — plot_website_stripes","text":"","code":"data <- load_path_json (rren_example ()) # Edit labels manually to provide JDK version. labels <- plot_default_labels (data) plot_website_stripes (data, labels = labels)"},{"path":"/reference/plot_website_violins.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot violin image used on benchmark website. — plot_website_violins","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"Plot violin image used benchmark website.","code":""},{"path":"/reference/plot_website_violins.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"","code":"plot_website_violins(input = \".\", warmup = 5 * 60, labels = \"labels.csv\")"},{"path":"/reference/plot_website_violins.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"input Data path data tibble summarize. warmup Duration discard warm time. labels Labels file labels tibble.","code":""},{"path":"/reference/plot_website_violins.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot violin image used on benchmark website. — plot_website_violins","text":"","code":"data <- load_path_json (rren_example ()) # Edit labels manually to provide JDK version. labels <- plot_default_labels (data) plot_website_violins (data, labels = labels)"},{"path":"/reference/preserve_last_n.html","id":null,"dir":"Reference","previous_headings":"","what":"Preserve last samples in each run by count. — preserve_last_n","title":"Preserve last samples in each run by count. — preserve_last_n","text":"Useful extracting set representative samples run, assuming last part run representative. Can specify maximum share samples function preserves. Runs fewer samples removed entirely.","code":""},{"path":"/reference/preserve_last_n.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preserve last samples in each run by count. — preserve_last_n","text":"","code":"preserve_last_n(.input, .n, .max_share = 0.5)"},{"path":"/reference/preserve_last_n.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preserve last samples in each run by count. — preserve_last_n","text":".input Measurement results filter. .n many samples taken end preserve. .max_share Maximum share samples preserve.","code":""},{"path":"/reference/preserve_last_n.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preserve last samples in each run by count. — preserve_last_n","text":"Filtered measurement results.","code":""},{"path":"/reference/preserve_last_sec.html","id":null,"dir":"Reference","previous_headings":"","what":"Preserve last samples in each run by time. — preserve_last_sec","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"Useful extracting set representative samples run, assuming last part run representative. Can specify maximum share samples function preserves. Runs fewer samples removed entirely.","code":""},{"path":"/reference/preserve_last_sec.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"","code":"preserve_last_sec(.input, .sec, .max_share = 0.5, .equal_count_per_run = FALSE)"},{"path":"/reference/preserve_last_sec.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Preserve last samples in each run by time. — preserve_last_sec","text":".input Measurement results filter. .sec old samples taken end preserve. .max_share Maximum share samples preserve. .equal_count_per_run Make sample count per run equal.","code":""},{"path":"/reference/preserve_last_sec.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"Filtered measurement results.","code":""},{"path":"/reference/preserve_last_sec.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Preserve last samples in each run by time. — preserve_last_sec","text":"equal sample count per run requested, chosen median sample count.","code":""},{"path":"/reference/remove_outliers_global.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove outliers. — remove_outliers_global","title":"Remove outliers. — remove_outliers_global","text":"Uses identify_vector_outliers_global() identify outliers given column. , removes outlier rows.","code":""},{"path":"/reference/remove_outliers_global.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove outliers. — remove_outliers_global","text":"","code":"remove_outliers_global(.input, .column, ...)"},{"path":"/reference/remove_outliers_global.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove outliers. — remove_outliers_global","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_global().","code":""},{"path":"/reference/remove_outliers_global.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove outliers. — remove_outliers_global","text":"Tibble rows filtered.","code":""},{"path":"/reference/remove_outliers_window.html","id":null,"dir":"Reference","previous_headings":"","what":"Remove outliers using sliding window. — remove_outliers_window","title":"Remove outliers using sliding window. — remove_outliers_window","text":"Uses identify_vector_outliers_window() identify outliers given column. , removes outlier rows.","code":""},{"path":"/reference/remove_outliers_window.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Remove outliers using sliding window. — remove_outliers_window","text":"","code":"remove_outliers_window(.input, .column, ...)"},{"path":"/reference/remove_outliers_window.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Remove outliers using sliding window. — remove_outliers_window","text":".input Data. .column Column identify outliers . ... Parameters identify_vector_outliers_window().","code":""},{"path":"/reference/remove_outliers_window.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Remove outliers using sliding window. — remove_outliers_window","text":"Tibble rows filtered.","code":""},{"path":"/reference/report_summaries.html","id":null,"dir":"Reference","previous_headings":"","what":"Report result summaries. — report_summaries","title":"Report result summaries. — report_summaries","text":"Generates result summaries human consumption.","code":""},{"path":"/reference/report_summaries.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Report result summaries. — report_summaries","text":"","code":"report_summaries(input = \".\", warmup = 5 * 60)"},{"path":"/reference/report_summaries.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Report result summaries. — report_summaries","text":"input Data path data tibble summarize. warmup Duration discard warm time.","code":""},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"Group helper report result summaries.","code":""},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"","code":"report_summaries_benchmark_group_helper(group, key)"},{"path":"/reference/report_summaries_benchmark_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for report result summaries. — report_summaries_benchmark_group_helper","text":"group Single benchmark group report . key Group key information.","code":""},{"path":"/reference/report_summaries_vm_group_helper.html","id":null,"dir":"Reference","previous_headings":"","what":"Group helper for report result summaries. — report_summaries_vm_group_helper","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"Group helper report result summaries.","code":""},{"path":"/reference/report_summaries_vm_group_helper.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"","code":"report_summaries_vm_group_helper(group, key)"},{"path":"/reference/report_summaries_vm_group_helper.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Group helper for report result summaries. — report_summaries_vm_group_helper","text":"group Single virtual machine group report . key Group key information.","code":""},{"path":"/reference/rren-package.html","id":null,"dir":"Reference","previous_headings":"","what":"rren: Renaissance Benchmark Data Processing Package — rren-package","title":"rren: Renaissance Benchmark Data Processing Package — rren-package","text":"utility package processing data produced Renaissance benchmark suite (https://renaissance.dev).","code":""},{"path":[]},{"path":"/reference/rren-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"rren: Renaissance Benchmark Data Processing Package — rren-package","text":"Maintainer: Petr Tuma petr.tuma@d3s.mff.cuni.cz (ORCID)","code":""},{"path":"/reference/rren_artificial.html","id":null,"dir":"Reference","previous_headings":"","what":"Return data frame with artificial data. — rren_artificial","title":"Return data frame with artificial data. — rren_artificial","text":"Data use run . result tibble arranged first iterate runs, benchmarks, virtual machines. guarantee useful difference runs injected later.","code":""},{"path":"/reference/rren_artificial.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return data frame with artificial data. — rren_artificial","text":"","code":"rren_artificial(data, run_count = 1L, benchmark_count = 1L, vm_count = 1L)"},{"path":"/reference/rren_artificial.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return data frame with artificial data. — rren_artificial","text":"data Data use run. run_count Count run combinations generate per virtual machine benchmark. benchmark_count Count benchmark combinations generate per virtual machine. vm_count Count virtual machine combinations generate.","code":""},{"path":"/reference/rren_artificial.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return data frame with artificial data. — rren_artificial","text":"data Tibble artificial data.","code":""},{"path":"/reference/rren_example.html","id":null,"dir":"Reference","previous_headings":"","what":"Return full path to an example file. — rren_example","title":"Return full path to an example file. — rren_example","text":"Return full path example file.","code":""},{"path":"/reference/rren_example.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Return full path to an example file. — rren_example","text":"","code":"rren_example(file_name = \"\")"},{"path":"/reference/rren_example.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Return full path to an example file. — rren_example","text":"file_name Example file name.","code":""},{"path":"/reference/rren_example.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Return full path to an example file. — rren_example","text":"Example file full path.","code":""}]