https://github.com/andrewrgarcia/sigmapython
Refactoring statistics code from the graveyard (2020). This repository formerly known as 'statistics'
https://github.com/andrewrgarcia/sigmapython
Last synced: about 1 month ago
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Refactoring statistics code from the graveyard (2020). This repository formerly known as 'statistics'
- Host: GitHub
- URL: https://github.com/andrewrgarcia/sigmapython
- Owner: andrewrgarcia
- License: mit
- Created: 2018-09-13T22:43:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-02-27T17:34:58.000Z (about 2 years ago)
- Last Synced: 2025-03-27T22:51:06.211Z (about 2 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.07 MB
- Stars: 3
- Watchers: 1
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# A Simple Open-Source Statistics Rep.
## Andrew GarciaWelcome to the statistics repository! Some changes have been made to streamline the user experience. Click on the Jupyter presentations below to get a feel of the scripts and how to use them.
## Histogram Distribution Fitting
#### frame_pdsfit.py
#### pdsfit.py
#### pdsfit_more.py## Equation Fitting - Local and Global Error Minimization Algorithms
#### minfit.py
#### basinhopfit.py## Simple Linear Regression
A simple template for linear fits
- [x] Calculates R^2, p value, and standard error of a linear fitting.
- [x] Example selects data points randomly and performs linear regression thereof:
#### linreg.py
## SPSS to CSV Format Converter
Extract SPSS files (.sav) with python / convert to .csv format* must install pyreadstat:
> pip install pyreadstat#### spss_convert.py
Copyright 2019 Andrew Garcia
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.