R Programming

Intelitech

Contains adsIn-app purchases

About this app

R Programming is an educational coding app for students, data learners, statistics beginners and anyone who wants to understand R in a clear offline format.

R is widely used for statistics, data analysis, visualization, research, reporting and predictive analytics. This app provides structured text lessons on R setup, syntax, variables, operators, control flow, functions, data structures, packages, data frames, data import, charts, distributions, hypothesis testing, regression and machine learning basics.

📚 7 R Programming Learning Modules
• R Programming Fundamentals and Setup
• R Control Flow, Functions and Text
• R Data Structures, Packages and Reshaping
• R Data Import, Files and Data Sources
• R Data Visualization
• R Statistics, Distributions and Testing
• R Regression and Predictive Analytics

✨ What You Will Learn
✅ R foundations
Learn R overview, installation environment, basic syntax, data types, variables, operators and simple program structure.

✅ Control flow and functions
Understand decision making, loops, user-defined functions, reusable code and string handling.

✅ Data structures and packages
Study vectors, lists, matrices, arrays, factors, data frames, packages and reshaping data for analysis-ready workflows.

✅ Data import and sources
Explore CSV, Excel, binary files, XML, JSON, web data, databases, loading data and saving data.

✅ Data visualization
Learn common R charts and plots including pie charts, bar charts, boxplots, histograms, line graphs and scatterplots.

✅ Statistics and testing
Study descriptive statistics, probability distributions, data summaries, variation, chi-square testing and statistical thinking in R.

✅ Regression and predictive analytics
Understand regression, covariance analysis, time series, nonlinear least squares, decision trees, random forests and survival analysis.

📌 Core App Features
✅ Detailed concept lessons
Read organized lessons covering R programming, data analysis, statistics, visualization, packages, data frames, regression, testing and predictive analytics.

✅ Offline learning
Access lessons without internet after installation. Useful for classroom study, self-learning, data science revision, statistics practice, interviews and quick reference.

✅ Bookmark important topics
Save lessons such as R syntax, variables, loops, functions, strings, vectors, data frames, CSV import, JSON, plots, distributions and regression.

✅ Fast search
Quickly search R programming, data types, functions, packages, data frames, reshaping, visualization, statistics, distributions, regression and random forests.

✅ Light and dark mode
Switch between light and dark themes for comfortable reading.

⭐ Optional One-Time Upgrade
Upgrade inside the app with a one-time purchase to unlock:
• Remove ads
• Save articles as PDF or print
• Priority support

No notes feature, live IDE, compiler, data analysis tools, calculators, quizzes, formulas, dictionary, QA or update sessions are included.

🎯 Best For
• R programming beginners
• Statistics and data science students
• Researchers and survey learners
• Business analytics learners
• Engineering, finance and science students
• Python users exploring R
• Interview and exam revision
• Offline programming reference users

🚀 Why Choose R Programming?
R Programming gives learners a structured way to understand R from basics to applied data analysis. The app groups important R topics into focused modules that are easy to read, bookmark and search.

Download R Programming today and start learning R syntax, variables, functions, data structures, packages, data frames, CSV and Excel import, JSON, charts, plots, statistics, distributions, chi-square testing, regression, time series, decision trees, random forests and predictive analytics with organized offline lessons.

Note: Educational reference only. This app does not provide a live R compiler, IDE, dataset processor, statistical calculator, certification exam, tutoring or data science consulting.

What’s new

✅ Improved layout and design
✅ Made subject categories offline compatible
✅ Added Light/Dark theme switch
✅ Enhanced offline support
✅ Improved search, bookmarks, performance and user experience