This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.6 and above). Mac OS 8.6 to 9.2 (and Mac OS X 10.1) are no longer supported but you can find the last supported release of R for these systems (which is R 1.7.1) here.

Bananas Academy’s Psyber is an educational game that teaches the fundamentals of Computer Science.

Play as Psyber, the Cute Bunny Robot.

R Academy Mac Os Download

Explore an alternate reality world of robots filled with fun interactive puzzles and dangerous traps while learning the fundamentals of computer science.

  • Problem installing packages on r 3.5.1 running on mac (OS X 10.13 Sierra) General. OlleNyren September 21, 2018, 11:48pm #1.
  • This is a game that is popular with many people and stimulates by its intense erotic and sexuality.Most of the game scenes take place at a fictional.
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The puzzles in the game are based on simple math and programming concepts that are foundational to Computer Science education.

Psyber is aimed primarily at children and young adolescents ( Ideally, 6 Years and above). However, If the child in you is still there, you’ll love Psyber.

Mac

Psyber is available on Windows and Mac OS. We support all the major operating systems.

The game works flawlessly even on low-end computers.

Bananas Academy’s Psyber is an educational game that teaches the fundamentals of Computer Science.

If you don’t like our game, . Reach out to us within 7 Days of your purchase we give you back your money. Simple as that.

We would also appreciate if you could also mention the reason for refund so that we can improve our game.

Bananas Academy’s Psyber is also available on Steam for Windows and Mac. Here’s our Store Page.

Mac Os Catalina

Played it for 1 hour and let my 12 year old niece play it afterwards. She finished all the 4 chapters (4 chapters available in the game as of writing this review) and she wanted more. I was fascinated how the game kept her engaged and had her attention throughout.
This is a very cool concept of teaching programming. I am a competitive programmer myself I regularly attend monthly challenges in websites like Codeforces and Codechef. I remember how I struggled to learn the fundamentals of programming as none of my school text books had a proper exposure to build a base towards coding.​

R is an incredibly powerful open source program for statistics and graphics. It can run on pretty much any computer and has a very active and friendly support community online. Graphics created by R are extremely extensible and are used in high level publications like the New York Times (as explained by this former NYT infographic designer).

Mac Os Versions

RStudio is an integrated development environment (IDE) for R. It’s basically a nice front-end for R, giving you a console, a scripting window, a graphics window, and an R workspace, among other options.

R Commander is a basic graphical user interface (GUI) for R. It provides a series of menus that allow you to run lots of statistic tests and create graphics without typing a line of code. More advanced features of R aren’t accessible through R Commander, but you can use it for the majority of your statistics. (Lots of people (like me) use R Commander as a crutch for a few months before they get the hang of the R language. As intimidating as it might be to constantly type stuff at the console, it really is a lot faster.)

However, as is the case with lots of free and open source software, it can be a little tricky to install all of these different programs and get them to work nicely together. The simple instructions below explain how to get everything working right.

Install R, RStudio, and R Commander in Windows

  1. Download R from http://cran.us.r-project.org/ (click on “Download R for Windows” > “base” > “Download R 2.x.x for Windows”)
  2. Install R. Leave all default settings in the installation options.
  3. Download RStudio from http://rstudio.org/download/desktop and install it. Leave all default settings in the installation options.
  4. Open RStudio.
  5. Go to the “Packages” tab and click on “Install Packages”. The first time you’ll do this you’ll be prompted to choose a CRAN mirror. R will download all necessary files from the server you select here. Choose the location closest to you (probably “USA CA 1” or “USA CA 2”, which are housed at UC Berkeley and UCLA, respectively).
  6. Start typing “Rcmdr” until you see it appear in a list. Select the first option (or finish typing Rcmdr), ensure that “Install dependencies” is checked, and click “Install”.
  7. Wait while all the parts of the R Commander package are installed.
  8. If you get permission errors while installing packages, close R Studio and reopen it with administrator privileges.

Install R, RStudio, and R Commander in Mac OS X

  1. Download R from http://cran.us.r-project.org/ (click on “Download R for Mac OS X” > “R-2.x.x.pkg (latest version)')
  2. Install R.
  3. Download RStudio from http://rstudio.org/download/desktop.
  4. Install RStudio by dragging the application icon to your Applications folder.
  5. Download Tcl/Tk from http://cran.r-project.org/bin/macosx/tools/ (click on tcltk-8.x.x-x11.dmg; OS X needs this to run R Commander.)
  6. Install Tcl/Tk.
  7. Go to your Applications folder and find a folder named Utilities. Verify that you have a program named “X11” there. If not, go to http://xquartz.macosforge.org/ and download and install the latest version of XQuartz.
  8. Open RStudio.
  9. Go to the “Packages” tab and click on “Install Packages”. The first time you’ll do this you’ll be prompted to choose a CRAN mirror. R will download all necessary files from the server you select here. Choose the location closest to you (probably “USA CA 1” or “USA CA 2”, which are housed at UC Berkeley and UCLA, respectively).
  10. Start typing “Rcmdr” until you see it appear in a list. Select the first option (or finish typing Rcmdr), ensure that “Install dependencies” is checked, and click “Install”.
  11. Wait while all the parts of the R Commander package are installed.

Open R Commander in Windows and OS X

Once you’ve installed R Commander, you won’t have to go through all those steps again! Running R Commander from this point on is simple—follow the instructions below.

If you decide to stop using R Commander and just stick with R, all you ever need to do is open RStudio—even simpler!

  1. Open R Studio
  2. In the console, type windows() if using Windows, quartz() if using Mac OS X. (This tells R Commander to output all graphs to a new window). If you don’t do this, R Commander graphs will be output to the graphics window in RStudio.
  3. Go to the “Packages” tab, scroll down to “Rcmdr,” and check the box to load the plugin. (Alternatively, type library(Rcmdr) at the console.)