iTunes

Opening the iTunes Store.If iTunes doesn't open, click the iTunes application icon in your Dock or on your Windows desktop.Progress Indicator
Opening the iBooks Store.If iBooks doesn't open, click the iBooks app in your Dock.Progress Indicator
iTunes

iTunes is the world's easiest way to organize and add to your digital media collection.

We are unable to find iTunes on your computer. To download the free app R Programming Language by Dmitry Kovba, get iTunes now.

Already have iTunes? Click I Have iTunes to open it now.

I Have iTunes Free Download

R Programming Language

By Dmitry Kovba

This app is only available on the App Store for iOS devices.

Description

The classic R programming language for iPad, iPhone and iPod touch. Programming language is a perfect tool for studying, complex mathematical calculation, entertainment and many other useful tasks. The application is especially useful for learning the R programming language. You have to buy compilations inside the application. Internet connection is required.

- The great programming tool on the AppStore.
- Your programming language for iOS is amazing!

* FEATURES *

- Compile and run your program.
- Text input before program run and text output.
- Enhanced source code editor with syntax highlighting, line numbers, color themes and additional keyboard.
- Online language reference and several program samples.

* LIMITATIONS *

- Internet connection is required to compile and run a program.
- Graphics, network, file system and real-time input are not supported.
- Maximum running time of a program is 15 seconds.
- Plotting is not supported at this moment.

Thanks for using the application!

====================================

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians for developing statistical software and data analysis.

R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and now, R is developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S.

R is part of the GNU project. The source code for the R software environment, which is written primarily in C, Fortran, and R. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. R uses a command line interface; however, several graphical user interfaces are available for use with R.

R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages. There are some important differences, but much code written for S runs unaltered. Many of R's standard functions are written in R itself, which makes it easy for users to follow the algorithmic choices made. For computationally intensive tasks, C, C++, and Fortran code can be linked and called at run time. Advanced users can write C or Java code to manipulate R objects directly.

R is highly extensible through the use of user-submitted packages for specific functions or specific areas of study. Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages. Extending R is also eased by its permissive lexical scoping rules.

According to Rexer's Annual Data Miner Survey in 2010, R has become the data mining tool used by more data miners (43%) than any other.

Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. Dynamic and interactive graphics are available through additional packages.

R has its own LaTeX-like documentation format, which is used to supply comprehensive documentation, both on-line in a number of formats and in hard copy.

What's New in Version 11.1

Minor changes.

Screenshots

iPhone Screenshot 1
iPhone Screenshot 2
iPhone Screenshot 3
iPhone Screenshot 4
iPhone Screenshot 5
iPad Screenshot 1
iPad Screenshot 2
iPad Screenshot 3
iPad Screenshot 4
iPad Screenshot 5

Customer Reviews

No graphics

R programmers expect the plot() function to plot graphics. If nothing else in R works, this ought to. But it doesn’t. To be fair, the App Store description says so, but I didn’t read that till afterwards, and never in my wildest dreams did I imagine that graphics would not be supported. I even spent a few bucks on unlimited compilations before discovering this to be the case.

R Programming Language
View in iTunes
This app is designed for both iPhone and iPad
  • Free
  • Category: Reference
  • Updated:
  • Version: 11.1
  • Size: 0.7 MB
  • Language: English
  • Seller:

Compatibility: Requires iOS 11.0 or later. Compatible with iPhone 5s, iPhone 6, iPhone 6 Plus, iPhone 6s, iPhone 6s Plus, iPhone SE, iPhone 7, iPhone 7 Plus, iPhone 8, iPhone 8 Plus, iPhone X, iPad Air, iPad Air Wi-Fi + Cellular, iPad mini 2, iPad mini 2 Wi-Fi + Cellular, iPad Air 2, iPad Air 2 Wi-Fi + Cellular, iPad mini 3, iPad mini 3 Wi-Fi + Cellular, iPad mini 4, iPad mini 4 Wi-Fi + Cellular, 12.9-inch iPad Pro, 12.9-inch iPad Pro Wi-Fi + Cellular, 9.7-inch iPad Pro, 9.7-inch iPad Pro Wi-Fi + Cellular, iPad (5th generation), iPad Wi-Fi + Cellular (5th generation), 12.9-inch iPad Pro (2nd generation), 12.9-inch iPad Pro Wi‑Fi + Cellular (2nd generation), 10.5-inch iPad Pro, 10.5-inch iPad Pro Wi‑Fi + Cellular, and iPod touch.

Customer Ratings

This application hasn’t received enough ratings to display a summary.
All Versions:

Top In-App Purchases

  1. Unlimited Compilations for R Programming Language$2.99
  2. 100 Compilations for R Programming Language$0.99