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In this tutorial, we will learn to install C in Windows, Mac, and Linux.

  • The Comprehensive R Archive Network Your browser seems not to support frames, here is the contents page of CRAN.
  • Step1 is common for all platforms(Mac, Windows, and Linux). Execute the below code on your R programming console. Install.packages('devtools') Step2: This step is also nearly the same for all OS. However, you have to use the corresponding packages URL. Execute the below code on the R Programming console. Windows CatBoost Install Command.
  • Jul 09, 2012  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.
  • R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT.

Install C on Windows

We will use an open-source Integrated Development environment named Code::Blocks which bundles a compiler (named gcc offered by Free Software Foundation GNU), editor and debugger in a neat package.

Step 1) Go to http://www.codeblocks.org/downloads and click Binary Release.

The ‘R Commander’ is a basic-statistics graphical user interface (GUI) for R, a free interactive programming language and environment. Therefore, in order to be able to use the R Commander, you must install both R and the R Commander on your computer. Luckily, a version of R exists for Windows, MacOS, and Linux/UNIX computers. R Programming Language: R is a programming language that is specifically developed for the graphics, charts, and statistics. R is a free and open source that can easily download. Either you can download the R language and work in the console of R language or you have a better option that is RStudio. Just download and work in it.

Step 2) Choose the installer with GCC Compiler, e.g., codeblocks-17.12mingw-setup.exe which includes MinGW's GNU GCC compiler and GNU GDB debugger with Code::Blocks source files.

Step 3) Run thedownloaded installer and accept the default options.

Step 4) Accept the Agreement

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Step 5) Keep the component selection default and click Next.

Step 6) You may change the installation folder and click Next.

Step 7) To launch Code::Blocks double click on the icon.

Step 8) It will detect the gcc compiler automatically, set it as default.

Associate C/C++ files with code::blocks

Step 9) You will see the IDE Home screen.

Install C in Linux

Linux operating systems mostly comes with GCC preinstalled. To verify if the compiler is installed on the machine, run the following command in the terminal:

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After executing this command if the gcc is installed on the machine then it will return the information about the compiler otherwise it will ask you to install the compiler.

To set up the 'C' environment on Linux distributions follow the given steps:

1. Open terminal.

2. For red-hat, Fedora users, type and execute this command

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3. For Debian and Ubuntu users, type and execute following command

4. To verify that the GCC has been successfully installed on the machine as we discussed earlier, execute the following command

Install C on MAC

To set up a 'C' programming environment on MAC operating system, follow the given steps:

1. Visit the given link https://developer.apple.com/downloads/index.action and download. You will need an Apple developer ID

'Command Line Tools for X-Code,' pick any version (latest version is always recommended) and download the .dmg file.

2. After the file is being downloaded on the machine, double click and follow the wizard and install the file. Always keep the default settings as suggested by the installation wizard.

3. After the installation process, open a terminal and run gcc -v command to check if everything is successfully installed.

Conclusion:

'C' program can be written and executed on any machine that has a suitable environment to run the program. Its recommended using an IDE to run C programs. An IDE includes a compiler, editor and debugger. Clanfg, MinGW compiler (Minimalist GNU for Windows), Portable 'C' compiler, Turbo C are popular compilers available.

Because ggplot2 isn’t part of the standard distribution of R, you have to download the package from CRAN and install it.

The Comprehensive R Archive Network (CRAN) is a network of servers around the world that contain the source code, documentation, and add-on packages for R.

Each submitted package on CRAN also has a page that describes what the package is about. You can view the ggplot2 page for more information.

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Although it’s fairly common practice to simply refer to the package as ggplot, it is, in fact, the second implementation of the grammar of graphics for R; hence, the package is ggplot2. As of this writing, the current version of the package is version 0.9.0.

Perhaps somewhat confusingly, the most important function in this package is ggplot(). Notice that the function doesn’t have a 2 in its name. So, be careful to include the 2 when you install.packages() or library() the package in your R code, but the functionggplot() itself does not contain a 2.

Here is how to install a package for the first time with the install.packages() function and to load the package at the start of each R session with the library() function.

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To install the ggplot2 package, use the following:

And then to load it, use the following:

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