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Learning Jupyter 5

You're reading from   Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781789137408
Length 282 pages
Edition 2nd Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter Java Coding 6. Jupyter JavaScript Coding 7. Jupyter Scala 8. Jupyter and Big Data 9. Interactive Widgets 10. Sharing and Converting Jupyter Notebooks 11. Multiuser Jupyter Notebooks 12. What's Next? 13. Other Books You May Enjoy

Basic R in Jupyter


Start a new R Notebook and call itR Basics. We can enter a small script just so we can see how the steps progress for R script. Enter the following into separate cells of your Notebook:

myString <- "Hello, World!" 
print (myString) 

From here, you will end up with a starting screen that looks like this:

We should note the aspects of the R Notebook view:

  • We have the R logo in the upper-right corner. You will see this logo running in other R installations.
  • There is also the peculiar RO just below the R icon. If the O unfilled circle displays, the unfilled circle indicates that the kernel is at rest, and the filled circle indicates that the kernel is working.
  •  The rest of the menu items are the same as the ones we saw previously.

This is a very simple script–set a variable in one cell and then print out its value in another cell. Once executed (Cell |Run All), you will see your results:

So, just as if you run the script in an R interpreter, you get your output (with the numerical...

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