Lua Statistics Functions (LuaSF) is a small library which offers a clean, minimalistic but powerful API for discrete and continuous Pseudo-random variables mainly.

Add LuaSF.lua file inside your project.
Call it using require function.
It will return a table containing a set of functions.

• sumF = function (array) : Sum Array
• avF = function (array) : Average Array
• stvF = function(array) : (n-1) Standar Desviation
• frecuencyF = function(array) : Frecuency Distribution
• nomalVA = function (mu, sig) : Normal Distribution
• normal_inv_D = function (p, mu, sig) : Normal-Inverse Gaussian Distribution (NIG) - RV
• bernoulliVA = function (p) : Bernoulli Distribution - RV
• unifVA = function (min,max) : Uniform Distribution - RV
• expoVA = function (beta) : Exponential Distribution - RV
• weibullVA = function (alpha,beta) : Weibull Distribution - RV
• erlangVA = function(n, lambda) : Erlang Distribution - RV
• trianVA = function(a,b,c) : Triangular Distribution - RV
• binomialVA = function(n,p) : Binomial Distribution - RV
• geometricVA = function(p) : Geomtric Distribution - RV
• poissonVA = function(lamba) : Poisson Distribution - RV
• chiSquareVA = function(n) : ChiSquare Distribution - RV
• gamVA = function(alpha, lamba) : Gamma Distribution - RV
• lognoRandVA = function(m, s) : Log-normal Distribution - RV

/RV: Random Variable

Experiment Twice Two Dice

--[[
--------------------------------------------
  sample
  twice two dice
--------------------------------------------
]]
local st = require("LuaStat")

local mList={}
for i=1,10000 do mList[i]=st.rand(1,6)+st.rand(1,6) end
local frecu = st.frecuencyF(mList)

-- report
for i=1, #frecu.c do
	print("Frecuency - Sum Number:", frecu.g[i], frecu.c[i])
end
--------------------------------------------

Normal Distribution for Quality Control Sample

-- Normal Distribution Probability
local a=5/100
print(st.normal_inv_D(a/2))
print(st.normal_inv_D(1-a/2))
--[[
--------------------------------------------
  Print:
 	-1.9688213737864
	1.9688213737864
--------------------------------------------
]]

• Visual Studio Code - The web framework used

• Hubert Ronald - Initial work - HubertRonald

See also the list of contributors who participated in this project.

This project is licensed under the MIT License - see the LICENSE file for details