Functions
def	Mean (xs)

def	Median (xs)

def	StdDev (xs)

def	Min (xs)

def	Max (xs)

def	Correl (xs, ys)

def	Histogram (xs, bounds, num_bins)

Function Documentation

◆ Correl()

def ost.stutil.Correl	(	xs,
		ys
	)

Calculates the correlation coefficient between xs and ys as

  sum[(xi-<x>)*(yi-<y>)]
r=----------------------
        sx*sy
        
where <x>, <y> are the mean of dataset xs and ys, and, sx and sy are the 
standard deviations.

Definition at line 41 of file stutil.py.

◆ Histogram()

def ost.stutil.Histogram	(	xs,
		bounds,
		num_bins
	)

Definition at line 68 of file stutil.py.

◆ Max()

def ost.stutil.Max ( xs )

Definition at line 38 of file stutil.py.

◆ Mean()

def ost.stutil.Mean ( xs )

Calculate mean of dataset

Definition at line 3 of file stutil.py.

◆ Median()

def ost.stutil.Median ( xs )

Calculate median of dataset

Definition at line 11 of file stutil.py.

◆ Min()

def ost.stutil.Min ( xs )

Definition at line 35 of file stutil.py.

◆ StdDev()

def ost.stutil.StdDev ( xs )

Calculate standard-deviation of dataset

          | sum[xi-<x>]^2 |
sigma=sqrt|---------------|
          |       n       |

Definition at line 24 of file stutil.py.

Functions