Statistical and Computational methods for Microbiome Studies.
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Updated
Oct 1, 2017 - R
Statistical and Computational methods for Microbiome Studies.
My scripts from BL5233 lectures and practicals.
Advanced Multivariate Statistics project
Simulations for an article about extreme quantile region estimation
Simple demonstration of basic multivariate statistics.
Programa Computarizado, elaborado en el lenguaje de programacion MATLAB, referente al Trabajo Especial de Grado para optar al Título de Ingeniero Industrial, en la Facultad de Ingeniería de la Universidad de Carabobo, año 2015; la cual fue reconocida con mención honorífica.
The purpose of this report is to investigate the historical dataset processed.heartdisease.txt that includes 303 patients at risk of heart disease displaying 14 different recorded fields.
Predict the activity of smartphone users (walking, sitting, lying) based on high dimensional sensor data.
Computational Statistic class coding assignment
In our second semester in ISI, Delhi, we did this project titled "Multivariate Analysis on Milk Transportation Data". The aim of the project was to implement Multivariate Statistical tools to extract insights from Milk Transportation Data.
Addiscore – An indicator to simplify the choice of prepared meals
exercises in multivariate statistics
Explore multivariate statistics through hands-on university projects. Each project delves into real-world datasets, applying statistical techniques like ANOVA, two-factor analysis, and binary logistic regression. Understand data analysis, interpretation, and modeling with R.
Correspondence Analysis in R and Python
Multivariate statistical hypothesis testing in Julia
This project includes framework for creating multivariate process monitoring control charts, identifying out-of-control points and removing the out-of-control data points (All the iterations are identified automatically by a loop and removed). The project also gives reader an idea of the approach followed for dimension reduction using PCA.
电子科技大学 2020 级《多元统计分析》课程代码。
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