Skip to main content

This moldule provides functions for calculation of one-way and two-way analysis of variance

Project description

fmanova - Package for Analysis of Variance

fmanova package provides functions to perform, one-way and two-way analysis of variance. The package contains two functions:

  • anova1w(data): Performs one-way analysis of variance.
  • anova2w(data): Performs two-way analysis of variance. Parameters: data: List, DataFrame, or ndarray, Returns: DataFrame

Dependencies:

  • Numpy
  • Pandas
  • SciPy

Installation:

In oder to perform analysis of variance, we must install fmanova . Use the package installer (PIP) or package management system (conda) to install fmanova.

 pip install fmanova
 python -m pip install fmanova
 conda install fmanova

How to use:

import required function from fmanova
provide input 
execute the code

Example:

Five different brands of headache tablets and their relief time in hours.

A B C D E
5 9 3 2 7
4 7 5 3 6
8 8 2 4 9
6 6 3 1 4
3 9 7 4 7
from fmanova.anova import anova1w
mydata=[[5,4,8,6,3],[9,7,8,6,9],[3,5,2,3,7],[2,3,4,1,4],[7,6,9,4,7]]
anova1w(mydata)

Source                   Sum_Sq   Dof   Mean_Sq         F             P_value
0  Column means   79.44       4      19.86             6.895833  0.00117
1      Residual          57.60      20     2.88

Version History

1.0.0 (Initial release)

License

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fmanova-1.0.0.tar.gz (2.7 kB view details)

Uploaded Source

File details

Details for the file fmanova-1.0.0.tar.gz.

File metadata

  • Download URL: fmanova-1.0.0.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.14

File hashes

Hashes for fmanova-1.0.0.tar.gz
Algorithm Hash digest
SHA256 998c742fe9abbc82ffee74767c68fd731d11235e8ca1f6c42c5fe060c28fcd67
MD5 8f50fa5363bed4a1f476e198d5bbb5e0
BLAKE2b-256 d410b7d98263d632a912ddcd96af0a3f44c95dc1b3d0f3a547a381cfd1709e51

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page