Difference between revisions of "RPR-Introduction"
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<b>Objectives:</b><br /> | <b>Objectives:</b><br /> | ||
| − | + | * Install the actual course R scripts on your computer. | |
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<b>Outcomes:</b><br /> | <b>Outcomes:</b><br /> | ||
| − | + | * The ABC-units RStudio project is installed in its own directory on your computer and you are ready to work with the code. | |
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<b>Deliverables:</b><br /> | <b>Deliverables:</b><br /> | ||
<section begin=deliverables /> | <section begin=deliverables /> | ||
| − | < | + | <ul> |
| + | <li>You have installed the ABC-Units RStudio project and worked through the required introductory steps to set it up.</li> | ||
| + | </ul> | ||
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<div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div> | <div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div> | ||
== Contents == | == Contents == | ||
| − | This is a "milestone unit". Its purpose is | + | This is a "milestone unit". Its purpose is mostly to collect a number of preparatory units into a single, common prerequisite. You are expected to be familiar and competent with all preparatory material at this point, and to have '''documented your learning in your journal'''. After a few more preparatory tasks you are ready to explore the bioinformatics landscape. Proceed with the tasks below ... |
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==The ABC RStudio Project== | ==The ABC RStudio Project== | ||
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[[Category:ABC-units]] | [[Category:ABC-units]] | ||
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Latest revision as of 09:11, 25 September 2020
Introduction to R
(Introduction to R)
Abstract:
This page collects the learning units for an introduction to R.
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Objectives:
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Outcomes:
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Deliverables:
- You have installed the ABC-Units RStudio project and worked through the required introductory steps to set it up.
Prerequisites:
This unit builds on material covered in the following prerequisite units:
Contents
Evaluation
Evaluation: NA
Contents
This is a "milestone unit". Its purpose is mostly to collect a number of preparatory units into a single, common prerequisite. You are expected to be familiar and competent with all preparatory material at this point, and to have documented your learning in your journal. After a few more preparatory tasks you are ready to explore the bioinformatics landscape. Proceed with the tasks below ...
The ABC RStudio Project
R-scripts and other resources for the learning units of this course are collected in an RStudio project. This makes it easy to update and distribute code. I push update material to the GitHub repository of the project for any unit, all you need to do is to pull the updated project to receive all updates and new files on your computer. Version control is really useful for this. However, there is an issue that you need to be aware of. If you create your own, local files and then commit them, git will complain that it would be overwriting such local material. As long as you don't commit your files then all should be fine. This means you'll need to do your own "versioning" by saving your own scripts under a different name from time to time. Once again: in this context:
- saving your own files is fine;
- committing your own files to version control will cause problems;
- changes you make to course material files and save under the same filename (like adding comments and notes) will not persist, these changes will be overwritten with the next update. You need to "Save As..." with a new filename (for example, prefix the original name with "
my").
Task:
- Open RStudio and create a New Project... cloned from a git version control directory. The repository URL is
https://github.com/hyginn/ABC-units. Create this in the same way as you did for the R-tutorial. - As requested on the console, type
init(). This will setup and configure some files. - Work through the task:
"Local script"in theRPR-Introduction.Rscript.
Self-evaluation
Understanding the setup
Imagine you made a typo when you entered your eMail address and now the file scripts/.myProfile.R contains a mistake. How do you fix this?
Answer ...
scripts/.myProfile.R is itself a file in the local working directory. Simply open it with the RStudio editor, fix the error, and save. Then type source("scripts/.myProfile.R") into the console.
About ...
Author:
- Boris Steipe <boris.steipe@utoronto.ca>
Created:
- 2017-08-05
Modified:
- 2020-09-18
Version:
- 1.0.1
Version history:
- 1.0.1 Maintenance
- 1.0 Completed to first live version.
- 0.1 First stub
This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.
