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tagwiki:software [2017/07/22 15:55]
funkyfinwhale
tagwiki:software [2017/07/22 16:11] (current)
funkyfinwhale
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 [[https://​www.gnu.org/​software/​octave/​|GNU Octave]] is available from [[https://​www.gnu.org/​|GNU Operating System]]. It is installed with a number of user developed packages (toolboxes) available from [[https://​octave.sourceforge.io/​packages.php|Octave Forge]]. The latest stable version is 4.2.1. GNU Octave is available for the following platforms: GNU/Linux, macOS, BSD, Windows [[https://​www.gnu.org/​software/​octave/​|GNU Octave]] is available from [[https://​www.gnu.org/​|GNU Operating System]]. It is installed with a number of user developed packages (toolboxes) available from [[https://​octave.sourceforge.io/​packages.php|Octave Forge]]. The latest stable version is 4.2.1. GNU Octave is available for the following platforms: GNU/Linux, macOS, BSD, Windows
  
-== Getting started in Octave == +== Getting started in GNU Octave == 
-Some online tutorials are available+A number of online tutorials ​for newbies to GNU Octave ​are available ​online, here are links to a few that we found useful.
   * [[http://​wiki.octave.org/​GNU_Octave_Wiki#​Tutorials.2FExamples|Octave Wiki Tutorials]]   * [[http://​wiki.octave.org/​GNU_Octave_Wiki#​Tutorials.2FExamples|Octave Wiki Tutorials]]
   * [[https://​en.wikibooks.org/​wiki/​Octave_Programming_Tutorial/​Getting_started|Wikibooks Octave Programming Getting Started]]   * [[https://​en.wikibooks.org/​wiki/​Octave_Programming_Tutorial/​Getting_started|Wikibooks Octave Programming Getting Started]]
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 == Getting R and RStudio == == Getting R and RStudio ==
-  ​Install ​R from [[https://cran.r-project.org/​]].  +[[https://​cran.r-project.org/​|Download and install ​R]] from the [[https://www.r-project.org/​|R Project for Statistical Computing]]. The latest version of R is 3.4.1 (Single Candle). R is available for a wide variety of UNIX platforms, macOS & Windows.  
-  - Install RStudio from [[https://​www.rstudio.com/​products/​rstudio/​download2/​]], ​choose the Desktopopen-source version.+ 
 +[[https://​www.rstudio.com/​products/​rstudio/​download2/​|RStudio Desktop Open Source Edition ​]] is available from [[https://​www.rstudio.com/​|RStudio]] and requires R2.11.1+ to be installed. The lastest version of RStudio is 1.0.153and it is available for LinuxmacOS and Windows
  
 == Using R and RStudio == == Using R and RStudio ==
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 * You can always look online for more! * You can always look online for more!
  
-== Using GitHub with RStudio == 
-We will use GitHub for version control on the tag tools software. There are plenty of resources online about using Git. You *can* use it via the command line, but for starters we suggest you access it via RStudio. Here are some tips and resources for getting started: 
  
-  * [[https://​www.r-bloggers.com/​rstudio-and-github/​|R-Bloggers RStudio and GitHub]] 
-  * [[http://​r-bio.github.io/​intro-git-rstudio/​|RClass RStudio and Git]] 
-  * [[http://​learngitbranching.js.org/​|Learn Git Branching]] has a nice interactive tutorial that explains how git branches work.  This is more than you need to know to get started with git (especially if you are working in RStudio), but it helps clarify what git is actually doing and is very helpful when you get into tricky situations or want to roll back to old versions, etc. 
- 
-== Creating packages in R == 
-Our tagtools will be bundled together in an R "​package"​. This requires a lot of specific documentation and formatting so that it meets the standards of CRAN, the organization that manages and distributes R packages to users. There is a great online reference that can help guide you through the process of creating (and adding to) an R package: 
- 
-  * http://​r-pkgs.had.co.nz/​ 
 </​WRAP>​ </​WRAP>​
 </​WRAP>​ </​WRAP>​
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--------- 
-===== R ===== 
-R is free statistical computing software. We will use it via the RStudio IDE. 
- 
-== Getting R and RStudio == 
-  - Install R from [[https://​cran.r-project.org/​]]. ​ 
-  - Install RStudio from [[https://​www.rstudio.com/​products/​rstudio/​download2/​]],​ choose the Desktop, open-source version. 
- 
-== Using R and RStudio == 
-Some tutorials for getting started in R via RStudio: 
- 
-* Many resources are linked at [https://​www.rstudio.com/​online-learning/​](https://​www.rstudio.com/​online-learning/​) -- R programming,​ R markdown, and Shiny may be useful to us in this project. 
-* You can always look online for more! 
- 
-== Using GitHub with RStudio == 
-We will use GitHub for version control on the tag tools software. There are plenty of resources online about using Git. You *can* use it via the command line, but for starters we suggest you access it via RStudio. Here are some tips and resources for getting started: 
- 
-  * [[https://​www.r-bloggers.com/​rstudio-and-github/​|R-Bloggers RStudio and GitHub]] 
-  * [[http://​r-bio.github.io/​intro-git-rstudio/​|RClass RStudio and Git]] 
-  * [[http://​learngitbranching.js.org/​|Learn Git Branching]] has a nice interactive tutorial that explains how git branches work.  This is more than you need to know to get started with git (especially if you are working in RStudio), but it helps clarify what git is actually doing and is very helpful when you get into tricky situations or want to roll back to old versions, etc. 
- 
-== Creating packages in R == 
-Our tagtools will be bundled together in an R "​package"​. This requires a lot of specific documentation and formatting so that it meets the standards of CRAN, the organization that manages and distributes R packages to users. There is a great online reference that can help guide you through the process of creating (and adding to) an R package: 
- 
-  * http://​r-pkgs.had.co.nz/​ 
- 
- 
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  • tagwiki/software.txt
  • Last modified: 2017/07/22 16:11
  • by funkyfinwhale