R Programming Language
OS :
Version :13.0
Size :0.73Mb
Updated :Nov 1,2019
Developer :Anastasia Kovba
Ask AI
You can ask the AI some questions about the app
Here are three topics that users of R programming language often discuss online, turned into questions for you: 1. What features does the RStudio interface offer for efficient data manipulation and analysis? 2. How do you handle missing data values in R and which methods are most effective? 3. What is your favorite package for machine learning in R and how do you implement it?
Q{{(index+1)}}{{item}}Ask AI
Pros and Cons from users' feedback
I'd be happy to help you with that! After analyzing the user reviews on the Apple App Store, I've extracted the following pros and cons: **Pros:** 1. "Excellent app for learning R programming, with clear explanations and examples." 2. "User-friendly interface makes it easy to write and run R code on-the-go." 3. "Constantly updated with new features and improvements, great support team." **Cons:** 1. "Occasional crashes and bugs, frustrating when working on complex projects." 2. "Limited functionality compared to desktop RStudio, missing some features." 3. "Some users find the app's layout and navigation confusing, takes time to get used to." Please note that these are general summaries based on the user reviews, and individual experiences may vary. If you'd
App Downloads
IOS
App Survey
  • How much traffic the app consumes Does it affect the experience?
      Submission Failed, try again
  • Why do you uninstall an app?
      Submission Failed, try again
  • Do you think the payment of application features affects the experience?
      Submission Failed, try again
  • Do you think the stability of the application affects the experience?
      Submission Failed, try again
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.
{{descriptionMoreText}}
Comments (0)
{{commentText.length}}/{{maxCommentText}}
{{commentError}}{{commentUserError}}
Failed to load data, try again
  • {{comment.commentUser.substring(0, 1)}}
    By {{comment.commentUser}}{{comment.commentDateString}}
    {{comment.comment}}