USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.
A Collection of Kernel and Distance Methods for Statistical Inference
Using multivariate analysis of variance and K-means clustering
R Package, Multivariate p-Value Estimation: MANOVA,Block Independence & Bartlett's M ECM Test,Plus 1-Way MANOVA Study Design
Using multivariate analysis of variance, logistic regression, and K-means clustering
Conduct Statistical Significance testing using ANOVA, MANOVA and T-Test in R programming language
Usage examples for the micompr R package
first business data analysis - factors affecting student satisfaction and bank clients
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
MATH F432 Applied Statistical Methods: Assignment-1
Statistics on App usage data
Source code written in R to implement multivariate analysis methods. Covering principal component analysist, factor analysist, clustering, manova, and so on.
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.
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
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