chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/README.md

@@ -209,16 +209,16 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-    double mu;
     double sigma;
+    double mu;
     double y;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
         mu = random_uniform( -5.0, 5.0 );
         sigma = random_uniform( 0.1, 20.0 );
         y = stdlib_base_dists_lognormal_skewness( mu, sigma );
-        printf("µ: %.4f, σ: %.4f, skew(X; µ, σ): %.4f\n", mu, sigma, y);
+        printf("µ: %.4f, σ: %.4f, skew(X;µ,σ): %.4f\n", mu, sigma, y);
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	mu = new Float64Array( len );
 	sigma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		mu[ i ] = ( randu() * 100.0 ) - 50.0;
-		sigma[ i ] = ( randu() * 20.0 ) + EPS;
+		mu[ i ] = uniform( -50.0, 50.0 );
+		sigma[ i ] = uniform( EPS, 20.0 );
 	}
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/benchmark/c/benchmark.c

@@ -94,15 +94,15 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double mu[ 100 ];
 	double sigma[ 100 ];
+	double mu[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		mu[ i ] = random_uniform( 0.0, 100.0 ) - 50.0;
-		sigma[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		mu[ i ] = random_uniform( -50.0, 50.0 );
+		sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/lognormal/skewness/examples/c/example.c

@@ -26,15 +26,15 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
+	double sigma;
 	double mu;
-    double sigma;
-    double y;
-    int i;
+	double y;
+	int i;
 
 	for ( i = 0; i < 10; i++ ) {
 		mu = random_uniform( -5.0, 5.0 );
 		sigma = random_uniform( 0.0, 20.0 );
 		y = stdlib_base_dists_lognormal_skewness( mu, sigma );
-		printf("µ: %.4f, σ: %.4f, skew(X; µ, σ): %.4f\n", mu, sigma, y);
+		printf("µ: %.4f, σ: %.4f, skew(X;µ,σ): %.4f\n", mu, sigma, y);
 	}
 }