R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared
-
Updated
Mar 19, 2024 - C++
R-squared measure for categorical data goodness-of-fit analysis using the surrogate R-squared
A term project of the Biostatistics (2022) at NYCU-IST.
Analysis code for Nature Climate Change paper: A global assessment of actors and their roles in climate change adaptation
📂 A collection of resources that may be helpful for analyzing your categorical data (including trait data).
This Categorical Encoder App is a Streamlit-based web application designed to help data analysts and machine learning practitioners efficiently encode categorical data into numerical representations.
I’ve created this repository with small Python scripts that I’ve used, and tested for spatial analysis. These scripts contains categorical statistics to statistical trends for each pixel. Feel free to download and use them on your local machine. I also have a MATLAB version for some of them.
Add a description, image, and links to the categorical-data-analysis topic page so that developers can more easily learn about it.
To associate your repository with the categorical-data-analysis topic, visit your repo's landing page and select "manage topics."