 Structural Bioinformatics Library Template C++ / Python API for developping structural bioinformatics applications.
PALSE_statistic_handle Class Reference

## 2D Plots

def hist2d (l, ofilename, name1='l', fontsize=16, breaks=None)
Plots the histogram of data in l using matplotlib. More...

def plot2d (l1, l2, ofilename, name1='l1', name2='l2', fontsize=16)
Plots the data of list L1 against the ones of L2 using matplotlib. More...

## Basic Statistics

def median (l, is_list_of_list=False)
Computes the median using SciPy. More...

def spearman (l1, l2, name1='l1', name2='l2')
Computes Spearman's correlation between the data of list L1 and the ones of L2 using Scipy. More...

def mann_whitney (l1, l2, name1='l1', name2='l2')
Computes the Mann-Whitney's U-test between the data of list L1 and the ones of L2 using Scipy. More...

def Rwilcoxon (l1, l2, name1='l1', name2='l2')
Computes the Wilcoxon's Rank-Sum-test between the data of list L1 and the ones of L2 using R. More...

def kendalltau (l1, l2, name1='l1', name2='l2')
Computes Kendall's tau correlation between the data of list L1 and the ones of L2 using Scipy. More...

def pearson (l1, l2, name1='l1', name2='l2')
Computes Pearson's correlation between the data of list L1 and the ones of L2 using Scipy. More...

## Detailed Description

A class providing elementary statistics and plotting facilities. All its functions are static members, and resort to low level operations borrowed to R and scientific python3.

## ◆ hist2d()

 def hist2d ( l, ofilename, name1 = `'l'`, fontsize = `16`, breaks = `None` )
static

Plots the histogram of data in l using matplotlib.

## ◆ kendalltau()

 def kendalltau ( l1, l2, name1 = `'l1'`, name2 = `'l2'` )
static

Computes Kendall's tau correlation between the data of list L1 and the ones of L2 using Scipy.

## ◆ mann_whitney()

 def mann_whitney ( l1, l2, name1 = `'l1'`, name2 = `'l2'` )
static

Computes the Mann-Whitney's U-test between the data of list L1 and the ones of L2 using Scipy.

## ◆ median()

 def median ( l, is_list_of_list = `False` )
static

Computes the median using SciPy.

The second argument allows to compute the median of each list instead of the whole.

## ◆ pearson()

 def pearson ( l1, l2, name1 = `'l1'`, name2 = `'l2'` )
static

Computes Pearson's correlation between the data of list L1 and the ones of L2 using Scipy.

## ◆ plot2d()

 def plot2d ( l1, l2, ofilename, name1 = `'l1'`, name2 = `'l2'`, fontsize = `16` )
static

Plots the data of list L1 against the ones of L2 using matplotlib.

## ◆ Rwilcoxon()

 def Rwilcoxon ( l1, l2, name1 = `'l1'`, name2 = `'l2'` )
static

Computes the Wilcoxon's Rank-Sum-test between the data of list L1 and the ones of L2 using R.

## ◆ spearman()

 def spearman ( l1, l2, name1 = `'l1'`, name2 = `'l2'` )
static

Computes Spearman's correlation between the data of list L1 and the ones of L2 using Scipy.