A Python package for correlation analysis between ordinal variables
Project description
ordinalcorr: correlation coefficients for ordinal variables
A Python package for computing correlation coefficients designed for ordinal-scale data (e.g., Likert items). Supports polychoric correlation and other ordinal association measures.
📦 Installation
pip install ordinalcorr
📘 Features
Polychoric correlation
Compute correlation coefficient between two ordinal variables
from ordinalcorr import polychoric_corr
x = [1, 1, 2, 2, 3, 3]
y = [0, 0, 0, 1, 1, 1]
rho = polychoric_corr(x, y)
print(f"Polychoric correlation: {rho:.3f}")
Polyserial correlation
Compute correlation coefficient between continuous variable and ordinal variable
from ordinalcorr import polyserial_corr
x = [0.1, 0.1, 0.2, 0.2, 0.3, 0.3]
y = [0, 0, 0, 1, 1, 2]
rho = polyserial_corr(x, y)
print(f"Polyserial correlation: {rho:.3f}")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ordinalcorr-0.2.0.tar.gz.
File metadata
- Download URL: ordinalcorr-0.2.0.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ac10b634cfea0388ff930c11fe41529c75edad16ef238491e533b0f7e4a9d7eb
|
|
| MD5 |
f56af38e89162846078b2835cc675798
|
|
| BLAKE2b-256 |
1630d4d781ae387b4334c1dcd9fdab2b945476f6a501c8d964aa8f42051f4537
|
File details
Details for the file ordinalcorr-0.2.0-py3-none-any.whl.
File metadata
- Download URL: ordinalcorr-0.2.0-py3-none-any.whl
- Upload date:
- Size: 5.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
caeba937045623c2a2045693d28c7a716f366b3949efd22e4c43a2eed8d875e8
|
|
| MD5 |
4a9664552b711c2c15026520215b4b9c
|
|
| BLAKE2b-256 |
ee20db43c4f10e56d18c95754e4bd819bb81a60d948f9c7b56fc944dece34b75
|