robustbase 0.2.9

A Python Based Library to Calculate Estimators (Sn, Qn, MAD, IQR)

robustbase

A Python Library to Calculate Estimators.

Installation

OS X , Windows & Linux:

pip install robustbase

Usage example

This package is used to calculate the following statistical estimators.

• Qn scale estimator
  • Compute the robust scale estimator Qn, an efficient alternative to the MAD. Read More.

Qn(x, constant = 2.21914, finite_corr=True)

from robustbase import Qn
  
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# with bias correction
res = Qn(x)  # ans = 3.196183

# Without bias correction
res = Qn(x, finite_corr=False)  # ans = 4.43828

• Sn scale estimator
  • Compute the robust scale estimator Sn, an efficient alternative to the MAD.Read More.

Sn(x, constant = 1.1926, finite_corr=True)

from robustbase import Sn
  
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

# with bias correction
res = Sn(x)  # ans = 3.5778 

# Without bias correction
res = Sn(x, finite_corr=False)  # ans = 3.5778

• Median Absolute Deviation(MAD)

mad(x, center = None, constant = 1.4826, na = False,
    low = False, high = False)

from robustbase import mad

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
res = mad(x)

• Interquartile Range (IQR)

iqr(x)

from robustbase import iqr

x = [1, 2, 3, 4. 5]
res = iqr(x)

Development setup

For local development setup

git clone https://github.com/deepak7376/robustbase
cd robustbase
pip install -r requirements.txt

Meta

Deepak Yadav – @imdeepak_dky – [e-mail]

Distributed under the MIT license. See LICENSE for more information.

https://github.com/deepak7376/robustbase/blob/master/LICENSE

Contributing

1. Fork it (https://github.com/deepak7376/robustbase/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

References

https://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/qn_scale.htm https://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/sn_scale.htm https://www.statisticshowto.datasciencecentral.com/median-absolute-deviation/ https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/interquartile-range/