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.
Prediction of loan-applications approval status through machine learning (in SAS).
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.
Different Programs on Data mining techniques such as classification, clustering, predictive analysis
Analyzing NYC Flights data 2013 using statistical and visualization tools in R, the project majorly hovers around the delay statistics with a nuanced intervention into nearly all the possible factors.
Created by Tony Barr, Jim Goodnight
Released January 1972