Learn R Programming vs Distributions
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
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.
- 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
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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!
Distributions
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Drag the curve. Shade a region. Watch probability respond. Distributions is a modern statistics study tool for students, educators, and anyone who wants to feel how probability distributions behave—not just memorize formulas. EXPLORE 41 DISTRIBUTIONS Browse discrete and continuous families with interactive PDF/PMF and CDF charts, live parameter sliders, descriptive statistics, examples, and random sampling. Search, favorites, recents, and side-by-side comparison keep the catalog usable on iPhone and iPad. TOUCH THE MATH Drag parameters on the chart and see the shape move. Turn on Probability mode to shade continuous regions or select discrete values and read the probability instantly. Typeset formulas stay linked to the live parameters. LEARN DEEPER Practice with Guess-the-Distribution quizzes, walk a relationship map between families, look up a searchable glossary, and check live z, t, and χ² critical values—all offline. ON-DEVICE AI (APPLE INTELLIGENCE) Ask the Distribution Advisor to suggest a distribution from a scenario, tap Explain for contextual teaching prompts, and optionally mix AI-generated quiz questions. AI output is labeled and advisory; exact probabilities and quantiles always come from the app’s calculator. When Apple Intelligence is unavailable, Explain and quizzes use built-in content and the Advisor tells you why it’s unavailable—everything else works the same. No accounts. No tracking. No third-party AI services. FIT MY DATA Paste or import a dataset, estimate candidate distributions, rank goodness of fit, inspect histogram and Q–Q overlays, and export reports. ONE-TIME PURCHASE Distributions is a paid app. One purchase includes all 41 distributions, interactive charts, calculators, Fit My Data, saved parameter sets, every quiz mode, exports, and unlimited on-device Advisor use. No subscriptions. No in-app purchases. No ads. Privacy-first by design: your exploration stays on your device.
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Verdict
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
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.
Both ship on a similar rhythm, roughly every 7 months. The most recent releases landed on October 6, 2026 and October 12, 2026 respectively.
| Parameter | Learn R Programming | Distributions |
|---|---|---|
| Price | $1.99 — better | $4.99 |
| Rating | 1.0 (1 ratings) — better | — |
| Number of ratings | 1 — better | — |
| Update frequency | Every 7 months | Every 7 months |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | — |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 17 — better | 26.0 |
| Further details — not scored | ||
| Size | 173 MB | 15 MB |
| Age rating | 9+ | 4+ |
| Developer | Shahbaz Khan | Joao Frasco |
In-app purchases
Learn R Programming
No in-app purchases
Distributions
No in-app purchases
Questions
Is Learn R Programming free?
Is Distributions free?
Do Learn R Programming or Distributions have ads?
Which is updated more often, Learn R Programming or Distributions?
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