[statistics] Standardisation

README.md

Standardise given data, and calculate tScore.

Needs averages.py and dispersion.py

standardise.py

#python version 3.3.3
#needs averages.py(https://gist.github.com/shotahorii/8206127)
#and dispersion.py(https://gist.github.com/shotahorii/8207631)

import dispersion as disp

#transform x -> ax + b
#l: list of numbers, a,b: numbers
def transform(l,a,b):
	return [a*l[i]+b for i in range(len(l))]

#standardise the data
#l: list of numbers
def standardise(l):
	return transform(l,1/disp.stdDev(l),-1/disp.coef(l))

#calculate tScore
#l: list of numbers
def tScore(l):
	standardised = standardise(l)
	return [10*standardised[i]+50 for i in range(len(l))]