Auto-generated commit

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-12-22)
+## Unreleased (2024-12-23)
 
 <section class="packages">
 
@@ -2744,7 +2744,7 @@ This release closes the following issue:
 
 ##### Features
 
--   [`db1d12e`](https://github.com/stdlib-js/stdlib/commit/db1d12e38135bf8e67b497e80e9f352e1bcb25cb) - add C implementation for `stats/base/dist/weibull/mean` [(#4052)](https://github.com/stdlib-js/stdlib/pull/4052)
+-   [`db1d12e`](https://github.com/stdlib-js/stdlib/commit/db1d12e38135bf8e67b497e80e9f352e1bcb25cb) - add C implementation for `stats/base/dists/weibull/mean` [(#4052)](https://github.com/stdlib-js/stdlib/pull/4052)
 
 </section>
 
@@ -2912,6 +2912,14 @@ A total of 17 people contributed to this release. Thank you to the following con
 
 <details>
 
+-   [`603c766`](https://github.com/stdlib-js/stdlib/commit/603c76686fc8de480628e5b96efd9733b1f059b5) - **test:** only conditionally run tests _(by Philipp Burckhardt)_
+-   [`2712c2c`](https://github.com/stdlib-js/stdlib/commit/2712c2c49e251f7dc53e1a984b233c37a2fdb871) - **bench:** only conditionally run benchmarks _(by Philipp Burckhardt)_
+-   [`318f280`](https://github.com/stdlib-js/stdlib/commit/318f28057bf00d910a656c4f315b8de17f89d3b5) - **chore:** minor clean-up _(by Philipp Burckhardt)_
+-   [`c13062e`](https://github.com/stdlib-js/stdlib/commit/c13062e5b90cbe28ec62f0b690211bd14b626cf3) - **style:** update to use tabs for indentation _(by Philipp Burckhardt)_
+-   [`2ea848b`](https://github.com/stdlib-js/stdlib/commit/2ea848b62b686e1e9d861f7df25ece23a7d80798) - **style:** update to use tabs for indentation _(by Philipp Burckhardt)_
+-   [`a72a67a`](https://github.com/stdlib-js/stdlib/commit/a72a67a667bcf694e5f8f2bc3c8e62714e5832bc) - **chore:** minor clean-up _(by Philipp Burckhardt)_
+-   [`6a0d6b8`](https://github.com/stdlib-js/stdlib/commit/6a0d6b861f8e2079a501ca4e46a9175440eedb46) - **style:** update to use tabs for indentation _(by Philipp Burckhardt)_
+-   [`8553770`](https://github.com/stdlib-js/stdlib/commit/85537708442675d6bc1bf5dad5aaf252cecb82ac) - **chore:** minor clean-up _(by Philipp Burckhardt)_
 -   [`a0eb37f`](https://github.com/stdlib-js/stdlib/commit/a0eb37f8a76369a7b0f6bec74affdf65d8a33b0c) - **refactor:** update `stats/base/dnanminabs` native addon from C++ to C [(#4126)](https://github.com/stdlib-js/stdlib/pull/4126) _(by Vivek maurya)_
 -   [`398c071`](https://github.com/stdlib-js/stdlib/commit/398c071feccc410c317eba90ee89ecc04bec63c9) - **refactor:** update `stats/base/dnanmin` native addon from C++ to C [(#4125)](https://github.com/stdlib-js/stdlib/pull/4125) _(by Vivek maurya)_
 -   [`5b71452`](https://github.com/stdlib-js/stdlib/commit/5b71452bd40811341a2e4eaab018c3cc17c5feac) - **docs:** update related packages sections [(#4135)](https://github.com/stdlib-js/stdlib/pull/4135) _(by stdlib-bot, Athan Reines)_
@@ -2958,7 +2966,7 @@ A total of 17 people contributed to this release. Thank you to the following con
 -   [`9d270ad`](https://github.com/stdlib-js/stdlib/commit/9d270ad8299ceb0723b1b805e738fbe19faa6520) - **feat:** add C implementation for `stats/base/dists/rayleigh/mean` [(#4026)](https://github.com/stdlib-js/stdlib/pull/4026) _(by Prashant Kumar Yadav, Philipp Burckhardt)_
 -   [`7d9b63d`](https://github.com/stdlib-js/stdlib/commit/7d9b63ddd452bf4cc171bdd21cf666274d3eeb56) - **feat:** add C implementation for `stats/base/dists/exponential/mode` [(#4047)](https://github.com/stdlib-js/stdlib/pull/4047) _(by Prashant Kumar Yadav, Philipp Burckhardt)_
 -   [`7eb69d4`](https://github.com/stdlib-js/stdlib/commit/7eb69d4e7b7b998a98772fa118c16707a0160e92) - **feat:** add C implementation for `stats/base/dists/logistic/median` [(#4031)](https://github.com/stdlib-js/stdlib/pull/4031) _(by Prashant Kumar Yadav)_
--   [`db1d12e`](https://github.com/stdlib-js/stdlib/commit/db1d12e38135bf8e67b497e80e9f352e1bcb25cb) - **feat:** add C implementation for `stats/base/dist/weibull/mean` [(#4052)](https://github.com/stdlib-js/stdlib/pull/4052) _(by Divyansh Seth, Philipp Burckhardt)_
+-   [`db1d12e`](https://github.com/stdlib-js/stdlib/commit/db1d12e38135bf8e67b497e80e9f352e1bcb25cb) - **feat:** add C implementation for `stats/base/dists/weibull/mean` [(#4052)](https://github.com/stdlib-js/stdlib/pull/4052) _(by Divyansh Seth, Philipp Burckhardt)_
 -   [`974b609`](https://github.com/stdlib-js/stdlib/commit/974b6094ed693a4a4fc732f9f0de082e2ab3cf89) - **feat:** add C implementation for `stats/base/dists/degenerate/variance` [(#4022)](https://github.com/stdlib-js/stdlib/pull/4022) _(by Aayush Khanna)_
 -   [`242b011`](https://github.com/stdlib-js/stdlib/commit/242b011a78ef3fce16befeca9e36629096e952c1) - **feat:** add C implementation for `stats/base/dists/f/mode` [(#4036)](https://github.com/stdlib-js/stdlib/pull/4036) _(by Vivek maurya, Philipp Burckhardt)_
 -   [`6c141f4`](https://github.com/stdlib-js/stdlib/commit/6c141f4c169d080eec1867c421aa6ffa88b9ebfd) - **feat:** add C implementation for `stats/base/dists/logistic/skewness` [(#4038)](https://github.com/stdlib-js/stdlib/pull/4038) _(by Prashant Kumar Yadav)_

base/dcumax/src/addon.c

@@ -34,7 +34,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
-    STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
 	stdlib_strided_dcumax( N, X, strideX, Y, strideY );

base/dcumaxabs/src/addon.c

@@ -34,7 +34,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
-    STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
 	stdlib_strided_dcumaxabs( N, X, strideX, Y, strideY );

base/dcumin/src/addon.c

@@ -34,7 +34,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
-    STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
 	stdlib_strided_dcumin( N, X, strideX, Y, strideY );

base/dcuminabs/src/addon.c

@@ -34,7 +34,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
 	STDLIB_NAPI_ARGV( env, info, argv, argc, 5 );
 	STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
 	STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
-    STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
+	STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 4 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
 	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 3 );
 	stdlib_strided_dcuminabs( N, X, strideX, Y, strideY );

base/dists/arcsine/variance/benchmark/benchmark.native.js

@@ -20,17 +20,26 @@
 
 // MODULES //
 
+var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
+var tryRequire = require( '@stdlib/utils/try-require' );
 var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
-var variance = require( './../lib' );
+
+
+// VARIABLES //
+
+var variance = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( variance instanceof Error )
+};
 
 
 // MAIN //
 
-bench( pkg+'::native', function benchmark( b ) {
+bench( pkg+'::native', opts, function benchmark( b ) {
 	var min;
 	var max;
 	var len;

base/dists/bernoulli/mode/README.md

@@ -121,7 +121,7 @@ var p;
 for ( i = 0; i < 10; i++ ) {
     p = randu();
     v = mode( p );
-    console.log( 'p: %d, Mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
+    console.log( 'p: %d, mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
 }
 ```
 
@@ -211,7 +211,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         p = (double)rand() / ( (double)RAND_MAX + 1.0 );
         y = stdlib_base_dists_bernoulli_mode( p );
-        printf( "x: %lf, M(X;p): %lf\n", p, y );
+        printf( "x: %lf, mode(X;p): %lf\n", p, y );
     }
 }
 ```

base/dists/bernoulli/mode/examples/index.js

@@ -28,5 +28,5 @@ var p;
 for ( i = 0; i < 10; i++ ) {
 	p = randu();
 	v = mode( p );
-	console.log( 'p: %d, Mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
+	console.log( 'p: %d, mode(X;p): %d', p.toFixed( 4 ), v.toFixed( 4 ) );
 }

base/dists/betaprime/skewness/examples/c/example.c

@@ -21,8 +21,8 @@
 #include <stdio.h>
 
 static double random_uniform( const double min, const double max ) {
-    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
-    return min + ( v*(max-min) );
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
 }
 
 int main( void ) {

base/dists/degenerate/mode/README.md

@@ -100,7 +100,7 @@ var i;
 for ( i = 0; i < 10; i++ ) {
     mu = randu();
     v = mode( mu );
-    console.log( 'µ: %d, Mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
+    console.log( 'µ: %d, mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
 }
 ```
 

base/dists/degenerate/mode/examples/index.js

@@ -28,5 +28,5 @@ var i;
 for ( i = 0; i < 10; i++ ) {
 	mu = randu();
 	v = mode( mu );
-	console.log( 'µ: %d, Mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
+	console.log( 'µ: %d, mode(X;µ): %d', mu.toFixed( 4 ), v.toFixed( 4 ) );
 }

base/dists/exponential/kurtosis/README.md

@@ -193,7 +193,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_kurtosis( lambda );
-        printf( "λ: %lf, Kurt[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, Kurt(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/kurtosis/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_kurtosis( lambda );
-		printf( "λ: %lf, Kurt[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, Kurt(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/mean/README.md

@@ -195,7 +195,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_mean( lambda );
-        printf( "λ: %lf, E[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, E(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/mean/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_mean( lambda );
-		printf( "λ: %lf, E[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, E(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/median/README.md

@@ -195,7 +195,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_median( lambda );
-        printf( "λ: %lf, Median[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, Median(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/median/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_median( lambda );
-		printf( "λ: %lf, Median[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, Median(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/median/test/test.native.js

@@ -24,9 +24,7 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // VARIABLES //
@@ -71,22 +69,14 @@ tape( 'if provided a rate parameter `lambda` that is not a nonnegative number, t
 tape( 'the function returns the median of an exponential distribution', opts, function test( t ) {
 	var expected;
 	var lambda;
-	var delta;
-	var tol;
 	var i;
 	var y;
 
 	expected = data.expected;
 	lambda = data.lambda;
 	for ( i = 0; i < expected.length; i++ ) {
 		y = median( lambda[i] );
-		if ( y === expected[ i ] ) {
-			t.equal( y, expected[i], 'lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });

base/dists/exponential/mode/README.md

@@ -193,7 +193,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_mode( lambda );
-        printf( "λ: %lf, Mode[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, mode(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/mode/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_mode( lambda );
-		printf( "λ: %lf, Mode[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, mode(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/skewness/README.md

@@ -193,7 +193,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_skewness( lambda );
-        printf( "λ: %lf, Skewness[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, skew(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/skewness/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_skewness( lambda );
-		printf( "λ: %lf, Skewness[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, skew(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/stdev/README.md

@@ -195,7 +195,7 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         lambda = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_exponential_stdev( lambda );
-        printf( "λ: %lf, Standard Deviation[X;λ]: %lf\n", lambda, y );
+        printf( "λ: %lf, SD(X;λ): %lf\n", lambda, y );
     }
 }
 ```

base/dists/exponential/stdev/examples/c/example.c

@@ -33,6 +33,6 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		lambda = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_exponential_stdev( lambda );
-		printf( "λ: %lf, Standard Deviation[X;λ]: %lf\n", lambda, y );
+		printf( "λ: %lf, SD(X;λ): %lf\n", lambda, y );
 	}
 }

base/dists/exponential/stdev/test/test.native.js

@@ -84,7 +84,7 @@ tape( 'the function returns the standard deviation of an exponential distributio
 			t.equal( y, expected[i], 'lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
 			delta = abs( y - expected[ i ] );
-			tol = 2.0 * EPS * abs( expected[ i ] );
+			tol = 1.0 * EPS * abs( expected[ i ] );
 			t.ok( delta <= tol, 'within tolerance. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}

base/dists/f/kurtosis/README.md

@@ -139,7 +139,7 @@ for ( i = 0; i < 10; i++ ) {
     d1 = ( randu()*10.0 ) + EPS;
     d2 = ( randu()*20.0 ) + EPS;
     v = kurtosis( d1, d2 );
-    console.log( 'd1: %d, d2: %d, skew(X;d1,d2): %d', d1.toFixed( 4 ), d2.toFixed( 4 ), v.toFixed( 4 ) );
+    console.log( 'd1: %d, d2: %d, Kurt(X;d1,d2): %d', d1.toFixed( 4 ), d2.toFixed( 4 ), v.toFixed( 4 ) );
 }
 ```
 

base/dists/gumbel/mean/README.md

@@ -125,7 +125,7 @@ for ( i = 0; i < 10; i++ ) {
     mu = ( randu()*10.0 ) - 5.0;
     beta = randu() * 20.0;
     y = mean( mu, beta );
-    console.log( 'µ: %d, β: %d, h(X;µ,β): %d', mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
+    console.log( 'µ: %d, β: %d, E(X;µ,β): %d', mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
 }
 ```
 

base/dists/kumaraswamy/median/src/main.c

@@ -32,12 +32,12 @@
 * // returns 1.0
 */
 double stdlib_base_dists_kumaraswamy_median( const double a, const double b ) {
-    if (
-        stdlib_base_is_nan( a ) ||
-        stdlib_base_is_nan( b ) ||
-        a <= 0.0 || b <= 0.0
-    ) {
-        return 0.0/0.0; // NaN
-    }
-    return 1.0 - stdlib_base_pow( 0.5, 1.0 / b );
+	if (
+		stdlib_base_is_nan( a ) ||
+		stdlib_base_is_nan( b ) ||
+		a <= 0.0 || b <= 0.0
+	) {
+		return 0.0/0.0; // NaN
+	}
+	return 1.0 - stdlib_base_pow( 0.5, 1.0 / b );
 }

base/dists/laplace/entropy/test/test.js

@@ -77,7 +77,7 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test
 	t.end();
 });
 
-tape( 'the function returns the excess entropy of a Laplace distribution', function test( t ) {
+tape( 'the function returns the differential entropy of a Laplace distribution', function test( t ) {
 	var expected;
 	var delta;
 	var tol;

base/dists/laplace/entropy/test/test.native.js

@@ -86,7 +86,7 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio
 	t.end();
 });
 
-tape( 'the function returns the excess entropy of a Laplace distribution', opts, function test( t ) {
+tape( 'the function returns the differential entropy of a Laplace distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;

base/dists/logistic/mean/README.md

@@ -213,7 +213,7 @@ int main( void ) {
         mu = random_uniform( 0.0, 10.0 ) - 5.0;
         s = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_logistic_mean( mu, s );
-        printf( "µ: %lf, s: %lf, Mean(X;µ,s): %lf\n", mu, s, y );
+        printf( "µ: %lf, s: %lf, E(X;µ,s): %lf\n", mu, s, y );
     }
 }
 ```

base/dists/logistic/mean/examples/c/example.c

@@ -35,6 +35,6 @@ int main( void ) {
 		mu = random_uniform( 0.0, 10.0 ) - 5.0;
 		s = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_logistic_mean( mu, s );
-		printf( "µ: %lf, s: %lf, Mean(X;µ,s): %lf\n", mu, s, y );
+		printf( "µ: %lf, s: %lf, E(X;µ,s): %lf\n", mu, s, y );
 	}
 }

base/dists/logistic/mode/README.md

@@ -201,7 +201,7 @@ int main( void ) {
         mu = random_uniform( 0.0, 10.0 ) - 5.0;
         s = random_uniform( 0.0, 20.0 );
         y = stdlib_base_dists_logistic_mode( mu, s );
-        printf( "µ: %lf, s: %lf, Mode(X;µ,s): %lf\n", mu, s, y );
+        printf( "µ: %lf, s: %lf, mode(X;µ,s): %lf\n", mu, s, y );
     }
 }
 ```

base/dists/logistic/mode/examples/c/example.c

@@ -35,6 +35,6 @@ int main( void ) {
 		mu = random_uniform( 0.0, 10.0 ) - 5.0;
 		s = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_logistic_mode( mu, s );
-		printf( "µ: %lf, s: %lf, Mode(X;µ,s): %lf\n", mu, s, y );
+		printf( "µ: %lf, s: %lf, mode(X;µ,s): %lf\n", mu, s, y );
 	}
 }