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File: Math_kashi/changes.txt

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File: Math_kashi/changes.txt
Role: Documentation
Content type: text/plain
Description: Version 4.0 files imported from
Class: Al-Kashi
Compute statistics on a set of values
Author: By
Last change: Fix the significance test of Student's t-Test
Date: 6 years ago
Size: 5,258 bytes


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What's new in Al-Kashi 5.1 (release date: Jul 5, 2016)

* Add "tTestDf" function to calculate degrees of freedom for use in significance 
  testing of Student's t distribution assumed equal/unequal variances.

* Fix the significance test of Student's t-Test unpaired null hypothesis that 
  mean of x = mean of y, thanks to Sacha Storz <>.

What's new in Al-Kashi 5.0 (release date: Feb 2, 2014)

* Support multiple linear regression for 2 independent variables, known issues: 
    - calculate standard error of regression model parameters: a, b1, and b2
    - calculate regression through the origin

* Add basic matrix functions which includes: mAddition, mSubtraction, 
  mMultiplication, mTranspose, mDeterminants, mCofactor, mAdjoint and mInverse.

* Add "path" function to perform Path analysis to describe the directed dependencies 
  among a set of variables.

* Add "solve" function to solve a system of equations.

* Kashi will throw now KashiException if there is any error, this enable you to use 
  try/catch block for more clean object oriented code.

* Fix r-square calculation bug in the regression method.

What's new in Al-Kashi 4.0 (release date: Aug 12, 2013)

* Back end function calculates all required information to render Boxplot, 
  Histogram, Normal Q-Q Plot, and Ternary plot.

* A new "movingAvg" method for moving average which is commonly used with time 
  series data to smooth out short-term fluctuations and highlight longer-term 
  trends or cycles.

* Calculate the standard error of regression model parameters, adjusted R square,
  significance of regression (i.e. F-statistic and p-value), as well as confidence 
  intervals at level 95%.

* Add two extra types of mean "Geometric" and "Harmonic" into the mean method.

* Add three extra methods [Jaccard|Dice|Simple Matching] to the "distance" methods in  
 the "KashiCluster" class to compute the distance in case of binary/quality characters.

* Add two new methods "isSkew" and "isKurt" to find out if skewness or kurtosis is
  significant (i.e. test it against 0).

* Add new method "rank" to implement standard competition ranking strategy ("1224" ranking).

* Improve simple linear regression method by add extra origin boolean parameter, if true 
  it will calculate regression through the origin (i.e. intercept = 0), default is false.
* Add an extra parameter to enable "standardize" method to centers the values around
  zero without affect the variance at all (default functionality will make variance=1).
* Add new method "dataLoad" to the "KashiCluster" sub class to simplified using
  this functionality.

What's new in Al-Kashi 3.0 (release date: Dec 29, 2012)

* Add new method "standardize" to the main Kashi class to perform standardize 
  transformation (i.e. mean=0 and variance=1).

* Add new Cluster sub class "KashiCluster" where we implement k-means clustering 
  method which aims to partition n observations into k clusters.

* Implement Hierarchical clustering technique also in the new "KashiCluster" sub 
  class, currently only Euclidian and Manhattan similarity measures are available 
  and Average Link as clustering method.

* ANOVA sub class is fully documented now.

What's new in Al-Kashi 2.1 (release date: Sep 15, 2012)

* Add new method "inverseNormCDF" for inverse of the standard normal 
  cumulative distribution, with a given probability.

* Add new method "inverseTCDF" to calculate the t-value of the Student's 
  t-distribution for a given probability and degrees of freedom.

* Improve the LSD estimation in the ANOVA procedure by using 
  qt(0.975, error df) x SED instead of 2 x SED

What's new in Al-Kashi 2.0 (release date: Sep 10, 2012)

* Add ANOVA sub class "KashiANOVA" which calculate ANOVA table, means,
  SE, SED, LSD, and CV values; It is built to be scalable data-analysis
  solution and this is why we used MySQL including two loading methods
  from array and string (i.e. file content).

Note: Column names ending in an exclamation mark (!) will have this 
      character removed and the column will be loaded as a factor. 

What's new in Al-Kashi 1.2 (release date: Jun 22, 2012)

* Add Simpson index to the diversity method.

What's new in Al-Kashi 1.1 (release date: Mar 26, 2012)

* This version has no need to connect to MySQL database anymore, thanks to
  Pavlos Stamboulides <> for the idea.

* The chiDist method returns now exact probability value as float number.

* Add normCDF method to calculate the CDF value for normal distribution.

What's new in Al-Kashi 1.0 (release date: Mar 3, 2012)

* First release :o)
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