The R Statistical Analysis Cookbook: Practical Solutions for Data Insights

By Darcy Darcy Claxton

"The R Statistical Analysis Cookbook" is a practical guide designed to equip you with the tools and techniques to effectively analyze data and extract meaningful insights using R. This book takes a hands-on approach, providing a collection of ready-to-use "recipes" that address common statistical problems encountered in various fields. Each recipe presents a clear problem statement, followed by a concise and efficient R solution, along with explanations of the code and underlying statistical concepts. You'll learn how to: -Prepare and manipulate data for analysis. -Perform descriptive statistics and create informative visualizations. -Conduct hypothesis tests, regression analysis, and ANOVA. -Analyze time series data. -Apply nonparametric methods. -Create publication-ready graphics with ggplot2. -Report results in a reproducible manner using R Markdown. -Build simple Shiny web applications for interactive data exploration. This book is ideal for: -Data analysts seeking practical solutions to everyday statistical challenges. -Researchers aiming to apply R to their data analysis and ensure reproducibility. -Students learning statistics and R and looking for practical applications. -Professionals in various fields needing to analyze data to make informed decisions. By focusing on practical applications and providing clear, adaptable code examples, "The R Statistical Analysis Cookbook" empowers you to quickly and confidently extract valuable insights from your data.

• Format: Paperback
• Language: English
• ISBN: B0F5YJKMN1
• ISBN13: 9798280675896
• Release Date: April 2025
• Publisher: Independently published
• Length: 320 Pages
• Dimensions: 9.6" x 0.7" x 6.7"