A bridge between R and Nim

Introduction to Programming for Bioinformatics, based on previous GNBF5010 Introduction to Programming course in Chinese University of Hong Kong

🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📜️ The document:wikis subcategory for AI2001, containing WikiData datasets

A Tutorial Introduction to R

Data Scientist with R Career Track

🇧🇷 A project for analyzing acceptability judgments of Brazilian Portuguese nonce words using R, focusing on syllable length and initial segment type. Includes mosaic plots and chi-square tests to assess structural effects on responses, with results suggesting no significant influence from either factor.

R package for access to open data distributed through the APIs of the Canary Islands Statistical Data and Metadata Infrastructure (eDatos)

Working comfortably with pointers and shortcuts to R objects

Official supplementary material for the book 'Visual Analytics with Tableau' by Alexander Loth (Wiley). This repository provides all the Tableau Workbooks (.twbx) and Tableau Prep Flows (.tfl) used in the book's examples, enabling readers to follow along step-by-step and enhance their hands-on learning experience.

Official R port of Sqids. Generate short unique IDs from numbers.

🧰️✉️🪱️ The DMail tacklebox is a separate email folder that holds phishing attempts (known as lures) it is separate from the spam folder, the inbox, and other folders.

Getting and Cleaning Data

🧰️✉️🪱️ The tacklebox is a separate email folder that holds phishing attempts (known as lures) it is separate from the spam folder, the inbox, and other folders.

Code to reproduce paper Adrian, Duarte and Iyer (2023), “The Market Price of Risk and Macro-Financial Dynamics”

Analysis of scriptures and general conference talks by leaders of The Church of Jesus Christ of Latter-day Saints. This project is not affiliated with The Church of Jesus Christ of Latter-day Saints.

R package for common bioinformatics tasks

🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️📜️ The document:wikis subcategory for AI2001, containing Wikipedia datasets

30-Day R Programming Challenge by Amey Thakur and Mega Satish, focused on statistical computing, data visualization, and applied data science.

Easily analyze the file contents of Shiny apps 🗂️