statuser: Statistical Tools Designed for End Users
Abstract
The statistical tools in this package do one of four things: 1) Enhance basic statistical functions with more flexible inputs, smarter defaults, and richer, clearer, and ready-to-use output (e.g., t.test2()) 2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf()) 3) Implement novel analytical tools developed by the authors (e.g., twolines()) 4) Deliver niche functions of high value to the authors that are not easily available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).
Fields of Study & Subjects
Data Analysis with R
Computational Physics and Python Applications
Scientific Computing and Data Management
Publication details
- Publication date
- 9 February 2026
- Language
- EN
- Document type
- Dataset