SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, enterprise app development, criminal investigation, and predictive analytics.
Database schema for e-commerce (webstores) sites.
Validation of Bioequivalence Test Performed by BE R package https://asancpt.github.io/BE-validation
Comprehensive Statistical and Multivariate Analysis through Principal Component and Factor Analysis methods using SAS. Applied estimation, hypothesis testing, and dimension reduction techniques as parts of this study.
📈🌱 Mixed Models for Agriculture in R
My personal website
Allows research sites to automatically submit SAS jobs to a central location and receive the results after the job runs on another remote sites' database.
This project provides a SAS Visual Analytics (VA) data-driven content object that uses annotations on provided data and SVG file to create a dynamic illustration that responds to data updates.
Just a fun collection of some things I find interesting
Este repositório reúne os materiais essenciais para ajudá-lo a construir aplicações robustas e eficientes com o SAS Job Execution.
This project is aiming to analyze the Stroop effect data gathered from research related to the following resource. https://faculty.washington.edu/chudler/java/timesc.html. SAS/STAT package is being used to implement the analysis. The analytical results, relevant findings and graphs can be found in the .html file in this repository.
A collection of SAS programming snippets and resources that I've learned and use.
Prediction of loan-applications approval status through machine learning (in SAS).
Different Programs on Data mining techniques such as classification, clustering, predictive analysis
Created by Tony Barr, Jim Goodnight
Released January 1972