Improved/logistics examples

lib/node_modules/@stdlib/stats/base/dists/logistic/cdf/README.md

@@ -142,10 +142,73 @@ for ( i = 0; i < 10; i++ ) {
     y = cdf( x, mu, s );
     console.log( 'x: %d, µ: %d, s: %d, F(x;µ,s): %d', x, mu, s, y );
 }
+// Importing the logistic distribution namespace
+var logistic = require('@stdlib/stats/base/dists/logistic');
+
+// Creating  a logistic distribution object with mean (mu) = 2.0 and scale (s) = 4.0
+var dist = new logistic.Logistic(2.0, 4.0);
+
+// To calculate the probability density function (PDF) at x = 2.0
+var pdfValue = dist.pdf(2.0);
+console.log('PDF at x = 2.0:', pdfValue); // Output: PDF at x = 2.0: 0.0625
+
+// To calculate the cumulative distribution function (CDF) at x = 3.0
+var cdfValue = logistic.cdf(3.0, 2.0, 4.0);
+console.log('CDF at x = 3.0:', cdfValue); // Output: CDF at x = 3.0: 0.5
+
+// To calculate the logarithm of the cumulative distribution function (logCDF) at x = 1.0
+var logCDFValue = logistic.logcdf(1.0, 2.0, 4.0);
+console.log('LogCDF at x = 1.0:', logCDFValue);
+
+// To calculate the logarithm of the probability density function (logPDF) at x = 4.0
+var logPDFValue = logistic.logpdf(4.0, 2.0, 4.0);
+console.log('LogPDF at x = 4.0:', logPDFValue);
+
+// To calculate the moment-generating function (MGF) at t = 0.5
+var mgfValue = logistic.mgf(0.5, 2.0, 4.0);
+console.log('MGF at t = 0.5:', mgfValue);
+
+// To calculate the quantile function at p = 0.95
+var quantileValue = logistic.quantile(0.95, 2.0, 4.0);
+console.log('Quantile at p = 0.95:', quantileValue);
+
+// To calculate the differential entropy
+var entropyValue = logistic.entropy(2.0, 4.0);
+console.log('Differential Entropy:', entropyValue);
+
+// To calculate the excess kurtosis
+var kurtosisValue = logistic.kurtosis(2.0, 4.0);
+console.log('Excess Kurtosis:', kurtosisValue);
+
+// To calculate the expected value (mean)
+var meanValue = logistic.mean(2.0, 4.0);
+console.log('Expected Value (Mean):', meanValue);
+
+// To calculate the median
+var medianValue = logistic.median(2.0, 4.0);
+console.log('Median:', medianValue);
+
+// To calculate the mode
+var modeValue = logistic.mode(2.0, 4.0);
+console.log('Mode:', modeValue);
+
+// To calculate the skewness
+var skewnessValue = logistic.skewness(2.0, 4.0);
+console.log('Skewness:', skewnessValue);
+
+// To calculate the standard deviation
+var stdevValue = logistic.stdev(2.0, 4.0);
+console.log('Standard Deviation:', stdevValue);
+
+// To calculate the variance
+var varianceValue = logistic.variance(2.0, 4.0);
+console.log('Variance:', varianceValue);
+
 ```
 
 </section>
 
+
 <!-- /.examples -->
 
 <!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

lib/node_modules/@stdlib/stats/base/dists/triangular/README.md

@@ -97,6 +97,8 @@ var y = dist.quantile( 0.5 );
 
 y = dist.quantile( 1.9 );
 // returns NaN
+
+
 ```
 
 </section>
@@ -109,13 +111,40 @@ y = dist.quantile( 1.9 );
 
 <!-- TODO: better examples -->
 
+
 <!-- eslint no-undef: "error" -->
 
 ```javascript
 var objectKeys = require( '@stdlib/utils/keys' );
 var triangular = require( '@stdlib/stats/base/dists/triangular' );
 
 console.log( objectKeys( triangular ) );
+
+
+// Basic Usage: Calculate and print the mean, median, and mode
+console.log('Mean:', dist.mean()); 
+  // returns Mean: 3.0
+
+console.log('Median:', dist.median());
+ // returns Median: 3.0
+
+console.log('Mode:', dist.mode());  
+ // returns Mode: 3.0
+
+// Probability Density Function (PDF): Calculate the PDF at x=3.5
+var pdfValue = dist.pdf(3.5);
+console.log('PDF at x=3.5:', pdfValue); 
+// returns  PDF at x=3.5: 0.4
+
+// Cumulative Distribution Function (CDF): Calculate the CDF at x=3.5
+var cdfValue = dist.cdf(3.5);
+console.log('CDF at x=3.5:', cdfValue); 
+// returns CDF at x=3.5: 0.5
+
+// Quantile Function: Find the quantile for p=0.5
+var quantileValue = dist.quantile(0.5);
+console.log('Quantile for p=0.5:', quantileValue);
+ // returns Quantile for p=0.5: 3.0
 ```
 
 </section>