If you are looking for a powerful, versatile, and open-source tool to enhance your data analysis skills, you might want to consider R. R is a programming language and environment that allows you ...

One of the main benefits of using R for data analysis is its flexibility and versatility. You can use R for almost any type of data analysis, from exploratory data analysis and data wrangling ...

This is the code repository for Data Analysis with R - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

What is this book about? Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...