에 의해 게시 에 의해 게시 Anastasia Kovba
1. R is a programming language and software environment for statistical computing and graphics.
2. Programming language is a perfect tool for studying, complex mathematical calculation, entertainment and many other useful tasks.
3. 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.
4. The R language is widely used among statisticians for developing statistical software and data analysis.
5. R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme.
6. - Enhanced source code editor with syntax highlighting, line numbers, color themes and additional keyboard.
7. 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.
8. The classic R programming language for iPad, iPhone and iPod touch.
9. Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages.
10. 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.
11. The application is especially useful for learning the R programming language.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 R Programming Language 검색 막대에서 검색을 누릅니다. 클릭 R Programming Language응용 프로그램 아이콘. 의 창 R Programming Language Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 R Programming Language Mac OS의 경우 (Apple)
다운로드 | 개발자 | 리뷰 | 평점 |
---|---|---|---|
Free Mac OS의 경우 | Anastasia Kovba | 3 | 1.00 |
PC를 설정하고 Windows 11에서 R Programming Language 앱을 다운로드하는 단계:
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.
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