Comparison

Learn R Programming vs Distributions

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

Learn R Programming

Master R programming for data science, statistics, and machine learning on your mobile device. This app offers a comprehensive curriculum, an integrated code compiler, and AI-powered learning tools to help you become a job-ready R developer.

Highlights
  • Core R syntax and programming concepts
  • Tidyverse for data manipulation and visualization
  • Machine learning algorithms and AI
  • Web development with Shiny and APIs
  • Integrated R code compiler
  • AI-powered learning tools
  • Domain-specific tracks
Features
Read full description

Learn R Programming: Data Science, Statistics & Machine Learning — All in One App. Master the language that powers the world's top data scientists, biostatisticians, and quantitative analysts. Whether you're a complete beginner or advancing your career, Learn R takes you from your first line of code to building production-ready machine learning models — entirely on your iPhone or iPad. Why Learn R? R is the gold standard for statistical computing, data analysis, and academic research. Used by Harvard, MIT, Pfizer, and the FDA, R opens doors to careers in data science, bioinformatics, finance, geospatial analysis, and AI. Core R Programming: - R syntax, data types, vectors, matrices, data frames, and lists - Control flow, loops, functions, and object-oriented programming - Functional programming with purrr and the apply family - Performance optimization, profiling, and Rcpp integration - Secure coding best practices and memory management Tidyverse & Data Wrangling: - dplyr for lightning-fast data manipulation - ggplot2 for publication-quality visualizations - tidyr, readr, stringr, forcats, and tibble - Modern data pipelines with the pipe operator Data Science & Statistics: - Descriptive and inferential statistics - Hypothesis testing, regression, ANOVA, and probability - End-to-end data science workflows - Exploratory data analysis and data cleaning Machine Learning & AI: -caret, tidymodels, random forests, SVMs, and clustering - Deep learning with Keras, TensorFlow, and Torch for R - Natural language processing (NLP) and text mining - Time series forecasting with ARIMA and Prophet - Reinforcement learning fundamentals - Big data with data.table and sparklyr Web, APIs & Deployment: - Build interactive dashboards with Shiny and shinydashboard - Create REST APIs with Plumber - Web scraping with rvest and httr - Quarto for reports, presentations, and books - Database integration (MySQL, PostgreSQL, MongoDB, SQLite) Domain-Specific Tracks: - Bioinformatics: Bioconductor, genomic data, sequence analysis - Finance: Quantitative analysis, portfolio modeling, risk management - GIS & Spatial: sf, raster, leaflet, and geospatial mapping Career & Ecosystem: - Career paths: data scientist, biostatistician, quant analyst, researcher - Package development and publishing to CRAN - Reproducible research with renv and containers - Git & GitHub for version control - Complementary skills: Python, SQL, Julia, Docker Run Real R Code Anywhere: Our built-in code compiler lets you write and execute R code instantly. Test dplyr pipelines, plot with ggplot2, build regression models, and debug functions — no laptop required. AI-Powered Learning : - Smart Flashcards:AI generates Q&A flashcards from any lesson - Quiz Hints: Progressive Socratic hints when you're stuck - Daily AI Tips: Personalized coding tips every morning - Note Intelligence: Summarize and simplify your notes instantly Quick-Reference Cheat Sheets: 10+ searchable cheat sheets covering R basics, data structures, dplyr, ggplot2, statistics, machine learning, and best practices — always one tap away. Structured for Retention: - Bite-sized lessons designed for mobile - Daily streaks and progress tracking - Bookmark lessons and create personal notes - Offline access to all content Learn R Programming today to start your R coding journey: master R data analysis, ggplot2, dplyr, and every R skill you need!

About

Distributions

Features
Read full description

Distributions – Explore Probability Visually Distributions is an educational app that helps you understand how parameters affect the shape and properties of 35 probability distributions. With interactive charts, sliders, and real-time statistics, you can see how changes in parameters impact the distribution instantly. Perfect for students, teachers, and anyone interested in statistics or data science. Key Features: • Explore both discrete and continuous distributions • Interactive charts for probability mass/density and cumulative functions • Real-time parameter editing with sliders and text fields • View mean, variance, skewness, and more • Random sampling demonstration • Predefined examples and parameter sets • Supports dark mode for comfortable viewing How It Works: 1. Select a distribution to explore 2. Adjust parameters and watch the chart update 3. View key statistics and properties 4. Try random sampling to see variability Perfect For: • Students learning statistics • Teachers demonstrating concepts • Data scientists and analysts Distributions makes learning probability intuitive and visual. Download now and start exploring!

Screenshots

Learn R Programming4 screens
Distributions4 screens

Verdict

The call

The clearest difference is price: Learn R Programming at $1.99 against Distributions's $4.99. Learn R Programming also leads on iOS requirement (17 vs 26.0). On update cadence, ads, in-app purchases and device support there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Learn R Programming costs $1.99 and Distributions $4.99 up front. Neither carries in-app purchases, so what you see is what you pay.

UpkeepUpdate frequency

Learn R Programming ships an update every 7 months, Distributions every 5 months. The most recent releases landed on September 18, 2026 and September 9, 2026 respectively.

Scorecard2 real differences · 7 level
Learn R Programming versus Distributions: the parameters behind the verdict, then further details
ParameterLearn R ProgrammingDistributions
Price$1.99 — better$4.99
Rating1.0 (1 ratings) — better—
Number of ratings1 — better—
Update frequencyEvery 7 monthsEvery 5 months — better
AdsNoNo
In-app purchasesNoNo
MonetizationPaid—
DevicesiPhone, iPadiPhone, iPad
Requires iOS17 — better26.0
Further details — not scored
Size173 MB3 MB
Age rating9+4+
DeveloperShahbaz KhanJoao Frasco

In-app purchases

None

Learn R Programming

No in-app purchases

None

Distributions

No in-app purchases

Questions

Is Learn R Programming free?
Learn R Programming costs $1.99, with no in-app purchases.
Is Distributions free?
Distributions costs $4.99, with no in-app purchases.
Do Learn R Programming or Distributions have ads?
Neither Learn R Programming nor Distributions shows ads.
Which is updated more often, Learn R Programming or Distributions?
Learn R Programming ships an update every 7 months, and Distributions every 5 months. Most recently, Learn R Programming was updated on September 18, 2026 and Distributions on September 9, 2026.

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