14.3 test-driveR

14.3.1 Introduction

SciServer sciserver.org is an online platform for doing scientific data analysis. It is used by scientists studying astronomy, biology, oceanography, and more, and is free as long as you are using it for scientific research. Using SciServer means you do not need a fancy computer or need to install any special programs on your computer, you can just log in with your internet browser to start doing research. For this course, we have set up SciServer with customized collections of programs as well as the data that we’ll be analyzing. Once you sign up for SciServer and are added to the group for this course, you will be able to access these tools and begin your data analysis journey!

14.3.2 Activity

Estimated time: 25 min

14.3.2.1 Instructions

  1. Accept invitation to join class SciServer Group
  1. Navigate to https://apps.sciserver.org/dashboard/groups

  2. Click “Accept Invitation”

  1. Start up a “C-MOOR LearnR” compute container
  1. Navigate to https://apps.sciserver.org/compute

  2. Click “Create container”

  3. Give your container a name (eg. my LearnR)

  4. In the “Compute Image” drop-down menu, select “C-MOOR LearnR”

  5. Under “Data Volumes”, check the box next to “C-MOOR Data”

f. Scroll down and click “Create”. This may take a moment.

  1. Start your C-MOOR LearnR container by clicking on its name
  • NOTE: If you see “Error: C-MOOR data volume not mounted!” you most likely forgot to check the box next to “C-MOOR Data” when you created the container.
  1. Complete your first LearnR tutorial
  1. Click on “test-driveR”. The tutorial will open in a new tab.

Complete the tutorial and answer the questions below.

14.3.2.2 Questions

Use the blocks provided at the end of the tutorial to create variations of the code provided in the first three exercises (Sort Data, Extract Data, and Plot Data). When you are done, submit the code and resulting output that you found most interesting. Briefly describe why you found it most interesting.

1. Code – Copy and paste your actual code as text.


2. Output – Copy and paste as text if simple, otherwise use a screenshot.


3. Description.


14.3.3 Grading Criteria

  • Download as Microsoft Word (.docx) and upload on Canvas

14.3.4 Footnotes

Resources

Contributions and Affiliations

  • Katherine Cox, Johns Hopkins University
  • Frederick Tan, Johns Hopkins University

Last Revised: February 2025