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#HOW TO OPEN R STUDIO ON MAC HOW TO#
#HOW TO OPEN R STUDIO ON MAC MAC OSX#
#HOW TO OPEN R STUDIO ON MAC PDF#
#HOW TO OPEN R STUDIO ON MAC SOFTWARE#
#HOW TO OPEN R STUDIO ON MAC CODE#

Thus, the take home message for the day is ‘GitHub is easy and you should use it.’

#HOW TO OPEN R STUDIO ON MAC HOW TO#

Still not convinced? I suggest you google ‘ why should I use version control?’īelow, I show how to use GitHub with Rstudio and also show that it is equally easy to use GitHub with any simple file of code.

#HOW TO OPEN R STUDIO ON MAC CODE#

GitHub, which seamlessly integrates with Git, allows you to 1.) keep copies of all of your code through time, 2.) compare code from various points in time (very useful for debugging), 3.) collaborate with people on the same project in a non-chaos inducing fashion, and 4.) keep copies of your code both locally and online (note that you should still officially back up all of your work). GitHub allows you to push your code from your local workspace to be hosted online. Git isn’t the only version control system out there (e.g., SVN), but it is one of the more popular implementations. Git is a version control system and allows you to save copies of your code throughout the entire developmental process. You may be thinking to yourself (well, at least, I was guilty of this) that all of your code is backed up on Dropbox, Google Drive, and three external hardrives – so what could possibly go wrong? The short answer is: lots! The longer answer is that there really are some tremendous advantages associated with using Git and GitHub that may not be immediately apparent. Or you may find it confusing and not worth the bother. A few of you out there may still be skeptical about the benefits of using GitHub. Deep Learning with R by François Chollet & J.J.A few weeks back, the Molecular Ecologist released an article about GitHub and also created an organization where you can fork or simply download code shared by the Molecular Ecology community.An Introduction to Statistical Learning: with Applications in R by Gareth James et al.Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham.Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce & Andrew Bruce.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurelien Géron.R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund.Inter-Rater Reliability Essentials: Practical Guide in R by A.Practical Statistics in R for Comparing Groups: Numerical Variables by A.Network Analysis and Visualization in R by A.GGPlot2 Essentials for Great Data Visualization in R by A.R Graphics Essentials for Great Data Visualization by A.

Machine Learning Essentials: Practical Guide in R by A.

Practical Guide To Principal Component Methods in R by A.

Practical Guide to Cluster Analysis in R by A.

Psychological First Aid by Johns Hopkins University.

Excel Skills for Business by Macquarie University.

Introduction to Psychology by Yale University.

Business Foundations by University of Pennsylvania.

IBM Data Science Professional Certificate by IBM.

Python for Everybody by University of Michigan.

Google IT Support Professional by Google.

The Science of Well-Being by Yale University.

AWS Fundamentals by Amazon Web Services.

Epidemiology in Public Health Practice by Johns Hopkins University.

Google IT Automation with Python by Google.

Specialization: Genomic Data Science by Johns Hopkins University.

#HOW TO OPEN R STUDIO ON MAC SOFTWARE#

Specialization: Software Development in R by Johns Hopkins University.Specialization: Statistics with R by Duke University.Specialization: Master Machine Learning Fundamentals by University of Washington.Courses: Build Skills for a Top Job in any Industry by Coursera.

Specialization: Python for Everybody by University of Michigan.

Specialization: Data Science by Johns Hopkins University.

Course: Machine Learning: Master the Fundamentals by Standford.

If checked, the package is loaded in R.įor more about RStudio read the online RStudio documentation.Ĭoursera - Online Courses and Specialization Data science

Packages tab: show external R packages available on your system.

#HOW TO OPEN R STUDIO ON MAC PDF#

From this tab, you can export a plot to a PDF or an image files

Plots tab: show the history of plots you created.

Files tab: show files in your working directory.

History tab: shows the history of all previous commands.

Workspace tab: shows the list of R objects you created during your R session.

R script can be created as follow: File –> New –> R Script.īottom-left panel: R console for typing R commands The R script is where you keep a record of your work. Top-left panel: Code editor allowing you to create and open a file containing R script. RStudio is a four pane work-space for 1) creating file containing R script, 2) typing R commands, 3) viewing command histories, 4) viewing plots and more.

#HOW TO OPEN R STUDIO ON MAC MAC OSX#

Launch RStudio under Windows, MAC OSX and LinuxĪfter installing R and RStudio, launch RStudio from your computer “application folders”.