USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.

Forest Fires regression analysis

Using multivariate analysis of variance and K-means clustering

first business data analysis - factors affecting student satisfaction and bank clients

Using multivariate analysis of variance, logistic regression, and K-means clustering

Simple Anova, Manova, ChiSq and ChiSq with Logit Scripts

Conduct Statistical Significance testing using ANOVA, MANOVA and T-Test in R programming language

Usage examples for the micompr R package

Excel files and R Code for research on the impacts of a consumer-side online fake news inoculation on an Indian sample, conducted under the grant provided by the Goutham Krishna Economics Research Fellowship of St. Stephen's College, Delhi

Advanced Multivariate Statistics project

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

This project applies MANOVA to heart disease data, examining the impact of chest pain type (cp), cholesterol (chol), and heart rate (thalach). It includes normality tests, outlier detection, post-hoc analysis, and cross-validation for model evaluation.

R Package, Multivariate p-Value Estimation: MANOVA,Block Independence & Bartlett's M ECM Test,Plus 1-Way MANOVA Study Design

Statistics on App usage data

MATH F432 Applied Statistical Methods: Assignment-1

Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.