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authorMalo Jaffré <jaffre.malo@gmail.com>2017-12-31 17:17:01 +0100
committerMalo Jaffré <jaffre.malo@gmail.com>2018-01-01 14:44:12 +0100
commitcbb32a94181d359ca16659b3e74303e945e8ea92 (patch)
tree785a92dda4d9ec7b385d05d81db60a8a615cd5a7 /src/libtest
parent8395798d1aa33bb6ee74d05825bb775a75a9b70e (diff)
downloadrust-cbb32a94181d359ca16659b3e74303e945e8ea92.tar.gz
rust-cbb32a94181d359ca16659b3e74303e945e8ea92.zip
Fix docs for future pulldown migration
Diffstat (limited to 'src/libtest')
-rw-r--r--src/libtest/stats.rs18
1 files changed, 9 insertions, 9 deletions
diff --git a/src/libtest/stats.rs b/src/libtest/stats.rs
index f04394f7166..9f8b4a73d0c 100644
--- a/src/libtest/stats.rs
+++ b/src/libtest/stats.rs
@@ -53,13 +53,13 @@ pub trait Stats {
 
     /// Arithmetic mean (average) of the samples: sum divided by sample-count.
     ///
-    /// See: https://en.wikipedia.org/wiki/Arithmetic_mean
+    /// See: <https://en.wikipedia.org/wiki/Arithmetic_mean>
     fn mean(&self) -> f64;
 
     /// Median of the samples: value separating the lower half of the samples from the higher half.
     /// Equal to `self.percentile(50.0)`.
     ///
-    /// See: https://en.wikipedia.org/wiki/Median
+    /// See: <https://en.wikipedia.org/wiki/Median>
     fn median(&self) -> f64;
 
     /// Variance of the samples: bias-corrected mean of the squares of the differences of each
@@ -68,7 +68,7 @@ pub trait Stats {
     /// bias that would appear if we calculated a population variance, by dividing by `(n-1)` rather
     /// than `n`.
     ///
-    /// See: https://en.wikipedia.org/wiki/Variance
+    /// See: <https://en.wikipedia.org/wiki/Variance>
     fn var(&self) -> f64;
 
     /// Standard deviation: the square root of the sample variance.
@@ -76,7 +76,7 @@ pub trait Stats {
     /// Note: this is not a robust statistic for non-normal distributions. Prefer the
     /// `median_abs_dev` for unknown distributions.
     ///
-    /// See: https://en.wikipedia.org/wiki/Standard_deviation
+    /// See: <https://en.wikipedia.org/wiki/Standard_deviation>
     fn std_dev(&self) -> f64;
 
     /// Standard deviation as a percent of the mean value. See `std_dev` and `mean`.
@@ -91,7 +91,7 @@ pub trait Stats {
     /// by the constant `1.4826` to allow its use as a consistent estimator for the standard
     /// deviation.
     ///
-    /// See: http://en.wikipedia.org/wiki/Median_absolute_deviation
+    /// See: <http://en.wikipedia.org/wiki/Median_absolute_deviation>
     fn median_abs_dev(&self) -> f64;
 
     /// Median absolute deviation as a percent of the median. See `median_abs_dev` and `median`.
@@ -103,7 +103,7 @@ pub trait Stats {
     ///
     /// Calculated by linear interpolation between closest ranks.
     ///
-    /// See: http://en.wikipedia.org/wiki/Percentile
+    /// See: <http://en.wikipedia.org/wiki/Percentile>
     fn percentile(&self, pct: f64) -> f64;
 
     /// Quartiles of the sample: three values that divide the sample into four equal groups, each
@@ -111,13 +111,13 @@ pub trait Stats {
     /// function may calculate the 3 quartiles more efficiently than 3 calls to `percentile`, but
     /// is otherwise equivalent.
     ///
-    /// See also: https://en.wikipedia.org/wiki/Quartile
+    /// See also: <https://en.wikipedia.org/wiki/Quartile>
     fn quartiles(&self) -> (f64, f64, f64);
 
     /// Inter-quartile range: the difference between the 25th percentile (1st quartile) and the 75th
     /// percentile (3rd quartile). See `quartiles`.
     ///
-    /// See also: https://en.wikipedia.org/wiki/Interquartile_range
+    /// See also: <https://en.wikipedia.org/wiki/Interquartile_range>
     fn iqr(&self) -> f64;
 }
 
@@ -311,7 +311,7 @@ fn percentile_of_sorted(sorted_samples: &[f64], pct: f64) -> f64 {
 /// It differs from trimming in that it does not change the number of samples,
 /// just changes the values of those that are outliers.
 ///
-/// See: http://en.wikipedia.org/wiki/Winsorising
+/// See: <http://en.wikipedia.org/wiki/Winsorising>
 pub fn winsorize(samples: &mut [f64], pct: f64) {
     let mut tmp = samples.to_vec();
     local_sort(&mut tmp);