Tutorials
This is a beginner guide that is designed to save yourself a headache and valuable time if you decide to install R yourself.
R-Studio Emergency ISO Image is used to create an R-Studio Emergency. startup USB device or CD/DVD disc. To create the startup USB device from the downloaded ISO Image, you may use any USB Bootable software for Mac computers, or any disk burning utility to burn a CD/DVD disc. Download Mozilla Firefox, a free Web browser. Firefox is created by a global non-profit dedicated to putting individuals in control online. Get Firefox for Windows, macOS, Linux, Android and iOS today! Click the 'download R' link in the middle of the page under 'Getting Started.' Select a CRAN location (a mirror site) and click the corresponding link. Click on the 'Download R for (Mac) OS X' link at the top of the page. Click on the file containing the latest version of R under 'Files.'
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R is one of the main languages used for data science today. As such, it is natural that any beginner may want to know how to get started with this powerful language regardless of the operating system running on a computer. Thus, this tutorial will address this by covering the installation process of R on Windows 10, Mac OSX, and Ubuntu Linux.
Furthermore, it will also go over the installation of RStudio, which is an IDE (Integrated Development Environment) that makes R easier to use as well as how to install R packages such as dplyr or ggplot2.
Installing R on Windows 10
Installing R on Windows 10 is very straightforward. The easiest way is to install it through CRAN, which stands for The Comprehensive R Archive Network. Just visit the CRAN downloads page and follow the links as shown in the video below:
Once the download is finished, you will obtain a file named 'R-3.6.3-win.exe' or similar depending on the version of R that you download. The links shown in the video above will take you to the most recent version. To finish installing R on your computer, all that is left to do is to run the .exe file. Most of the time, you will likely want to go with the defaults, so click the button 'Next' until the process is complete, as shown in the video below. Note that, even though I do not do so, you can add desktop or quick start shortcuts during the process.
Installing RStudio
Once R is installed, you can proceed to install the RStudio IDE to have a much-improved environment to work in your R scripts. It includes a console that supports direct code execution and tools for plotting and keeping track of your variables in the workspace, among other features. The installation process is very straightforward, as well. Simply go to the RStudio downloads page and follow the video below:
Once the download is complete, you will get a file named 'RStudio-1.2.5033.exe' or similar. Again this will be dependent on the version. To complete the installation, it is as easy as before. Just run the previously mentioned .exe file with the default settings by clicking 'Next', and wait until the installation finishes. Bear in mind that RStudio requires that R is installed beforehand.
Installing Packages in R
Now you have base R installed on your system and a nice IDE to begin your R programming journey. However, base R is rather limited in the things that it can do, which is why we have R packages such as dplyr for enhanced,'ggplot2'))
The second is shown in the video below. It is an easy-to-use graphical interface built into RStudio from which you can search and download any R package available on CRAN.
Installing R on Mac OSX
Installing R on Mac OS is similar to Windows. Once again, The easiest way is to install it through CRAN by going to the CRAN downloads page and following the links as shown in the video below:
The next step is to click on the 'R-3.6.2.pkg' (or newer version) file to begin the installation. You can leave the default options as is just like for Windows.
Installing RStudio and R packages
This process is essentially the same as in Windows. To download RStudio, go to the RStudio downloads page and get the .dmg for Mac OS, as shown in the image below. Remember to keep default installation options.
Once you open RStudio, installing packages is the same as with Windows. You can use either
install.packages(c('dplyr','ggplot2'))
in the console or go ahead and use the graphical interface shown in the video under the installing packages in R subsection of this tutorial.Installing R on Ubuntu 19.04/18.04/16.04
Installing R on Ubuntu maybe a little bit more tricky for those unused to working in the command line. However, it is perhaps just as easy as with Windows or Mac OS. Before you start, make sure to have root access in order to use sudo.
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As it is common, prior to installing R, let us update the system package index and upgrade all our installed packages using the following two commands:
sudo apt update
sudo apt -y upgrade
After that, all that you have to do is run the following in the command line to install base R.
sudo apt -y install r-base
Installing RStudio and R Packages
Once base R is installed, you can go ahead and install RStudio. For that we are going to head over again to the RStudio downloads page and download the .deb file for our Ubuntu version as shown in the image below:
Once you have the .deb file, all that is left is to navigate to your downloads folder using
cd Downloads
in the command line and then run the following command to begin the installation process:sudo dpkg -i rstudio-1.2.5033-amd64.deb
You may encounter some dependency problems that may cause your first try to install RStudio to fail, but this has an easy fix. Just run the following command and try again:
![Mac Mac](/uploads/1/1/2/2/112205469/197210302.jpg)
sudo apt -f install
When the process finishes, you will have an RStudio shortcut in your Ubuntu app list, but you will also be able to start RStudio by typing rstudio in the command line.
Once you open RStudio, installing packages can be done in the exact same manner as with Windows or Mac OS. Either by typing
install.packages(c('dplyr','ggplot2'))
in the console or using the graphical interface shown in the video under the installing packages in R subsection of this tutorialConclusion
I hope that this tutorial will help those of you eager to dive into the world of R programming regardless of your operating system choice. If you are looking to start learning R as such after installing it, please refer to the Introduction to R course, which will guide you through the basics of R programming. Keep learning; the sky is the limit.
LaTeX is free software under the terms of the LaTeX Project Public License (LPPL). LaTeX is distributed through CTAN servers or comes as part of many easily installable and usable TeX distributions provided by the TeX User Group (TUG) or third parties. If you run into trouble, visit the help section.
LaTeX is not a stand-alone typesetting program in itself, but document preparation software that runs on top of Donald E. Knuth's TeX typesetting system. TeX distributions usually bundle together all the parts needed for a working TeX system and they generally add to this both configuration and maintenance utilities. Nowadays LaTeX, and many of the packages built on it, form an important component of any major TeX distribution.
- The LaTeX Git Repository
The LaTeX team cannot guarantee that TeX distributions, even recent ones, contain the most recent version of LaTeX. It may happen that you need a more recent LaTeX than the one that your favourite TeX distribution carries, e.g., in order to get a particular bug fix. In that case you will need to fetch LaTeX from CTAN and install it on top of your distribution. See below for details.
TeX Distributions
If you’re new to TeX and LaTeX or just want an easy installation, geta full TeX distribution. The TeX Users Group (TUG) has a list of notable distributionsthat are entirely, or least primarily, free software.
Linux
Check your Linux distributions software source for a TeX distribution including LaTeX. You can also install the current TeX Live distribution directly---in fact this may be advisable as many Linux distributions only contain older versions of TeX Live, see Linux TeX Live package status for details.
Mac OS
The MacTeX distribution contains everything you need, including a complete TeX system with LaTeX itself and editors to write documents.
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Windows
Check out the MiKTeX or proTeXt or TeX Live distributions; they contain a complete TeX system with LaTeX itself and editors to write documents.
Online
LaTeX online services like Papeeria, Overleaf, ShareLaTeX, Datazar, and LaTeX base offer the ability to edit, view and download LaTeX files and resulting PDFs.
CTAN
You can obtain LaTeX from CTAN, which is theprimary source of distribution for LaTeX. In order for your downloadedLaTeX to be of any use, you have to obtain and set up a TeX systemfirst. You can either install a TeX distribution (see above) or get aTeX system from CTAN. Ifyou use a TeX distribution then it will include a version of LaTeX sothis will probably make things easier for you; but you may have areason not to do this.
The LaTeX Git Repository
These days the LaTeX development sources are kept in a GitHubrepository (previously we used SVN).
Anyone can access it and download the files, butsubmission is restricted to team members. The repository is located at https://github.com/latex3/latex2eand from that browser page you may explore the files, clone therepository or download the files in a
.zip
archive (roughly 25Mb) byusing the appropriate buttons.If you are familiar with Git you can also clone the repository using thecommand line or your favorite Git fontend tool, e.g.,
which needs about 50Mb of space.Alternatively, you can do a Subversion checkout from the command line, e.g.,
which will just checkout the current files.But be aware that a SVN checkout of the form
will download all files including theirhistory (back to 2009) and amounts to roughly 1.4Gb so that is quite large.
![Mac Mac](/uploads/1/1/2/2/112205469/568341452.jpg)
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Note: If you had bookmarked the old SVN repository please update thatbookmark to the new GIT repository as we have finally removed it.
A note on Git pull requests
Git repositories support distributed development and allow people toprovide change sets that are made available through so called pullrequests, so that the maintainers of a program can “pull the suggestedchanges” into the main repository.
While we appreciate contributions, we think that for the core LaTeXsoftware pull requests are usually not a good approach (unless thechange has be already discussed and agreed upon).The stability of LaTeX is very important and this means that changes tothe kernel are necessarily very conservative. It also means that a lotof discussion has to happen before any changes are made. So if you dodecide to post a pull request, please bear this in mind: we doappreciate ideas, but cannot always integrate them into the kernel andit is quite likely that we reject updates made in this way.
If you want to discuss a possible contribution before (or instead of)making a pull request, we suggest you raise the topic first onthe LATEX-L list or drop aline to the team.
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Historic LaTeX
Ulrik Vieth has collected historic versions of LaTeX from LaTeX 2.0for TeX 1.0 (released on 11 December 1983) onwards. You can find thematftp://ftp.tug.org/historic/macros/latex-saildart/.There might even be some earlier versions. All files have been pulledfrom the SAILDART archive site at http://z.baumgart.org/ (no longeronline) which was based on archive tapes from SAIL at Stanford.
More historic material can be found at ftp://ftp.tug.org/historic (you may not be able to open this in all browsers — alternatively try https://www.math.utah.edu/pub/tex/historic/).