R-evolution

Learn how to apply the Bass Model to real-world data, forecast growth, and analyze market competition using R.

Five intriguing tools and techniques that can enhance your R programming experience and broaden your data analysis capabilities.

The release of several new packages that bring advanced features for data science, machine learning, and analytics. In this article, we…

Learning a new programming language can be challenging, and several researchers have been studying students’ journeys during the learning…

Overview

Motivation, Theory, and Simulations of Robert Solow’s 1956 Growth Model, a fundamental model of long-run economic growth analysis.

In this post, we delve into the apply, sapply, lapply, and map functions in R, exploring their syntax and practical applications. Using…

This script is a Shiny app that allows the user to select a municipality in Latvia from a dropdown menu and view the current weather and…

Introduction: Ensuring data quality is a fundamental step before any serious analysis can be conducted. The pointblank package in R is a…

As the field of data science continues to evolve, discovering innovative ways to solve complex data problems is crucial. One such approach…

R’s functions and tools tailored for data science, some functions, though powerful, often fly under the radar for many users. One such…