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diff --git a/include/internal/benchmark/detail/catch_analyse.hpp b/include/internal/benchmark/detail/catch_analyse.hpp
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+++ b/include/internal/benchmark/detail/catch_analyse.hpp
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+/*
+ *  Created by Joachim on 16/04/2019.
+ *  Adapted from donated nonius code.
+ *
+ *  Distributed under the Boost Software License, Version 1.0. (See accompanying
+ *  file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+ */
+
+ // Run and analyse one benchmark
+
+#ifndef TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED
+#define TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED
+
+#include "../catch_clock.hpp"
+#include "../catch_sample_analysis.hpp"
+#include "catch_stats.hpp"
+
+#include <algorithm>
+#include <iterator>
+#include <vector>
+
+namespace Catch {
+    namespace Benchmark {
+        namespace Detail {
+            template <typename Duration, typename Iterator>
+            SampleAnalysis<Duration> analyse(const IConfig &cfg, Environment<Duration>, Iterator first, Iterator last) {
+                if (!cfg.benchmarkNoAnalysis()) {
+                    std::vector<double> samples;
+                    samples.reserve(last - first);
+                    std::transform(first, last, std::back_inserter(samples), [](Duration d) { return d.count(); });
+
+                    auto analysis = Catch::Benchmark::Detail::analyse_samples(cfg.benchmarkConfidenceInterval(), cfg.benchmarkResamples(), samples.begin(), samples.end());
+                    auto outliers = Catch::Benchmark::Detail::classify_outliers(samples.begin(), samples.end());
+
+                    auto wrap_estimate = [](Estimate<double> e) {
+                        return Estimate<Duration> {
+                            Duration(e.point),
+                                Duration(e.lower_bound),
+                                Duration(e.upper_bound),
+                                e.confidence_interval,
+                        };
+                    };
+                    std::vector<Duration> samples2;
+                    samples2.reserve(samples.size());
+                    std::transform(samples.begin(), samples.end(), std::back_inserter(samples2), [](double d) { return Duration(d); });
+                    return {
+                        std::move(samples2),
+                        wrap_estimate(analysis.mean),
+                        wrap_estimate(analysis.standard_deviation),
+                        outliers,
+                        analysis.outlier_variance,
+                    };
+                } else {
+                    std::vector<Duration> samples; 
+                    samples.reserve(last - first);
+
+                    Duration mean = Duration(0);
+                    int i = 0;
+                    for (auto it = first; it < last; ++it, ++i) {
+                        samples.push_back(Duration(*it));
+                        mean += Duration(*it);
+                    }
+                    mean /= i;
+
+                    return {
+                        std::move(samples),
+                        Estimate<Duration>{mean, mean, mean, 0.0},
+                        Estimate<Duration>{Duration(0), Duration(0), Duration(0), 0.0},
+                        OutlierClassification{},
+                        0.0
+                    };
+                }
+            }
+        } // namespace Detail
+    } // namespace Benchmark
+} // namespace Catch
+
+#endif // TWOBLUECUBES_CATCH_DETAIL_ANALYSE_HPP_INCLUDED