r-programming

Data Handling Using R

R language course taken in National Taiwan University

Guide for the Baccarelli Lab GitHub

A comprehensive collection of data science learning materials, tutorials, and hands-on projects designed to guide learners through essential data science concepts and techniques.

Using R tools like ggplot2 and dplyr, analyzed small business data to understand uptake patterns for federal aid. Employed logistic regression and decision trees to pinpoint key predictors. Explored strategies like mailer campaigns to boost application rates and conducted power analysis for potential randomized trials.

A repository having all data science concepts programmed in R.

Analyze COVID-19 data to understanding the impact of age and gender on the mortality rate of infected individuals

Predicted global temperature till 2050

Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).

RNA-Seq differential gene expression analysis of ischemic stroke PBMC samples (GSE122709)

A visualization of the distribution of House of Representatives seats across Nigerian states using R

Student-group projects (with WeSay) in the Lexicology and Lexicography class (Even semester 2024; taught by Gede Primahadi W. Rajeg & I Wayan Arka) concerning the creation of the Holle List of the Barrier-Island Languages to continue work (and to be integrated) in the main repository (https://github.com/complexico/holle-list-barrier-islands)

Pedestrian's footfall data analysis for the city of Dublin

Project to detect Regimes in various equity market of India using Principal Component Analysis and Gaussian Mixture Modelling

Linear programming models and game theory solutions developed in R for multi-product blending, manufacturing resource allocation, and zero-sum strategic decision-making.

Discover product associations with Apriori algorithm in R. Includes frequent itemsets, confidence/lift metrics, and actionable cross-selling recommendations.

Web scraping em R utilizando os pacotes rvest e httr

Bioinformatics analyses using R, including MSc and PhD projects.