[center]R Programming--a Comprehensive Guide | 123 | Editor IJSMI | 2020 | International Journal of Statistics and Medical Informatics | [/align]
R programming has gained importance in different fields due its flexibility, rich packages, platform independent characteristics, data analysis, data visualization, building various models like machine learning models. It facilitates the incorporation of codes of other languages such as C, C++ and Java in its programming environment.
R programming is an open source platform which is developed by originally by Ross Ihaka and Robert Gentleman from University of Auckland during the year 1991. It is a modified version of S language developed during 1976 by Bell Laboratories in USA. Currently the development process is being handled by the R core development team.
The book starts with the basic concepts such as vectors, objects, factors, data frames, lists, reading data and writing data files, conditions, controls, functions and handling database connections.
Book covers the R Programming rich graphical and data visualization tools, and web applications.
Statistical concepts such as Descriptive, Inferential, and regression models are also covered. It also includes Machine Learning models such as classification and clustering models. All the data files used in book can be downloaded from author's book website.
Editor IJSMI,
International Journal of Statistics and Medical Informatics
? Unlock the Power of R Programming: Your Ultimate Guide to Statistical Mastery!
? Dive deep into the world of data science with "R Programming: A Comprehensive Guide to Statistical Computing" by Ryan Campbell. Whether you're a seasoned data scientist or just starting your journey, this book is your roadmap to becoming a statistical computing maestro.
Key Highlights
? Foundational Principles: Master the basics of R programming, from syntax to data structures, building a solid foundation for your statistical journey.
? Data Manipulation: Harness the power of tidyverse packages for seamless data wrangling, making your data more manageable and analysis-ready.
? Statistical Analysis: Explore advanced statistical modeling techniques, turning your data into actionable insights and informed decision-making.
? Dynamic Reporting with R Markdown: Elevate your reporting game with interactive and transparent reports, showcasing your findings with elegance and clarity.
? Interactive Dashboards with Shiny: Learn to build captivating and interactive dashboards, bringing your data to life and engaging your audience effectively.
? Security in Statistical Computing: Fortify your statistical castle against threats with essential security measures, ensuring the integrity of your analyses.
? Future Horizons: Peer into the future of R programming, exploring emerging technologies, predictions, and continuous learning strategies to stay ahead in the dynamic data science landscape.
Inside, You'll Discover
? Ethical Data Science Practices: Navigate the ethical compass of data science, ensuring responsible practices in every aspect of your statistical endeavors.
? Security Measures in R Programming: From code vulnerabilities to network security, fortify your statistical castle against potential threats.
? Emerging Technologies: Explore the integration of R with artificial intelligence, advancements in big data processing, and the evolution of data visualization techniques.
? Continuous Learning Strategies: Chart your course in the dynamic world of R programming, embracing lifelong learning, networking, and collaboration for sustained growth.
Keywords for Optimization
R programming
Statistical computing
Data science
R Markdown
Shiny dashboards
Advanced statistics
Data manipulation
Future trends in R
Ethical data science
Security in R programming
Embark on your statistical computing odyssey today!
Grab your copy of "R Programming: A Comprehensive Guide to Statistical Computing" and become the master of data in the ever-evolving world of R programming. ??
✅ Contents of download скачать:
⭐️ B0CNTC6VXD.pdf (29.91 MB)
------------------------------------*****------------------------------------
✅ R Programming A Comprehensive Guide to Statistical Computing (29.91 MB)
NitroFlare Link(s)
https://nitroflare.com/view/1BE848153D52D54/R.Programming.A.Comprehensive.Guide.to.Statistical.Computing.rar
RapidGator Link(s)
https://rapidgator.net/file/afaa59a29015082acd0294e713f81772/R.Programming.A.Comprehensive.Guide.to.Statistical.Computing.rar
