• $stats->avg(); // 48.99999999
• $stats->count(); // 5
• $stats->cv(); // 81.76010400
• $stats->kurtosis(); // -1.52599209
• $stats->max(); // 100
• $stats->min(); // 5
• $stats->skewness(); // 0.22664883
• $stats->stdDev(); // 40.06245124
• $stats->sum(); // 245

Disclaimer: Auto generated file. Please help us setting parameters to useful values and extending the examples.

/**
     * Constructor
     *
     * @param integer $scale number of decimals
     * @param integer $exceptions  How to manage missing, null, N/A & not numeric. Stats::MISSING_ Stats::NA_ default Asume 0.00
     * @return void
     */
/*
 $stats = new Stats(integer $scale = 8, integer $exceptions = 8);
*/

$stats = new Stats();

• $stats->pushArray(array $valuesArray) : Stats

  /**
       * Caclulate stats for values in array
       *
       * @param array $valuesArray [val1, val2, ...]
       * @return Stats object this
       */
  

  1. $stats->pushArray(['a' => '1', 'b' => '2', 'c' => 3]); -> 
     

     Array
     (
         [min] => 1
         [avg] => 2.00000000
         [max] => 3
         [count] => 3
         [sum] => 6
         [variance] => 1.00000000
         [stdDev] => 1.00000000
         [cv] => 50.00000000
         [skewness] => 0.00000000
         [kurtosis] => -1.50000000
     )
     

• $stats->push(string|int $x) : void

  /**
       * Add a value to caclulate
       *
       * @param string|int $x
       * @return void
       */
  

  1. $stats->push(3);"
• $stats->count() : string|int

  /**
       * Return count or n elements processed
       *
       * @return string|int number of items calculated
       */
  

  1. $stats->count(); -> 4
• $stats->min() : string

  /**
       * Minimum value encountered
       *
       * @return string bcmath number
       */
  

  1. $stats->min(); -> 1
• $stats->avg() : string

  /**
       * Average, mean, of calculated values
       *
       * @return string bcmath number
       */
  

  1. $stats->avg(); -> 2.25000000
• $stats->max() : string

  /**
       * Maximum value encountered
       *
       * @return string bcmath number
       */
  

  1. $stats->max(); -> 3
• $stats->sum() : string

  /**
       * Sum or total of cacluated values
       *
       * @return string bcmath number
       */
  

  1. $stats->sum(); -> 9
• $stats->variance() : string

  /**
       * Varaince
       *
       * @return string bcmath number
       */
  

  1. $stats->variance(); -> 0.91666666
• $stats->stdDev() : string

  /**
       * Standard deviation
       *
       * @return string bcmath number
       */
  

  1. $stats->stdDev(); -> 0.95742710
• $stats->skewness() :

  /**
       * Skewness
       *
       * Characterizes the degree of asymmetry of a distribution around its mean.
       * [-0.5, 0.5] aprox symetric, [0.5,1],[-0.5,-1] moderatly, else highly
       * Positive skewness indicates a distribution with an asymmetric tail extending toward more positive values.
       * Negative skewness indicates a distribution with an asymmetric tail extending toward more negative values.
       *
       * Skewness, has several estimators see:
       * https://www.researchgate.net/post/Is_there_any_difference_in_formula_when_calculating_Skewness_manually_and_using_SPSS_software
       *
       */
  

  1. $stats->skewness(); -> 
     

     -0.49338220

• $stats->kurtosis() : string

  /**
       * Kurtosis
       *
       * Characterizes the relative peakedness or flatness of a distribution compared with the normal distribution.
       * Positive kurtosis indicates a relatively peaked distribution.
       * Negative kurtosis indicates a relatively flat distribution.
       *
       * A normal distribution has kurtosis exactly 3 (excess kurtosis exactly 0). Any distribution with kurtosis ≈3 (excess ≈0) is called mesokurtic.
       * A distribution with kurtosis <3 (excess kurtosis <0) is called platykurtic. Compared to a normal distribution, its tails are shorter and thinner, and often its central peak is lower and broader.
       * A distribution with kurtosis >3 (excess kurtosis >0) is called leptokurtic. Compared to a normal distribution, its tails are longer and fatter, and often its central peak is higher and sharper.
       *
       * @return string bcmath number
       */
  

  1. $stats->kurtosis(); -> -1.37190083
• $stats->cv() : string

  /**
       * Coefficient of Variation (cv) stdDev/Avg * 100
       *
       * @return string bcmath number
       */
  

  1. $stats->cv(); -> 42.55231500
• $stats->stats() : array

  /**
       * Returns basci statistics on calculated values
       *
       * @return array ['min'=>1,'avg'=>1,'max'=>1,'count'=>1,'sum'=1,'variance'=>1,'stdDev'=>1,'skewness'=>1,'kurtosis'=>1]
       */
  

  1. $stats->stats(); -> 
     

     Array
     (
         [min] => 1
         [avg] => 2.25000000
         [max] => 3
         [count] => 4
         [sum] => 9
         [variance] => 0.91666666
         [stdDev] => 0.95742710
         [cv] => 42.55231500
         [skewness] => -0.49338220
         [kurtosis] => -1.37190083
     )