85 lines
2.2 KiB
R
85 lines
2.2 KiB
R
# RPR-Introduction.R
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#
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# Purpose: A Bioinformatics Course:
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# R code accompanying the RPR-Introduction unit
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#
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# Version: 0.1
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#
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# Date: 2017 08 25
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
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#
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# V 0.1 First code
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#
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# TODO:
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#
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#
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# == HOW TO WORK WITH LEARNING UNIT FILES ======================================
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#
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# DO NOT SIMPLY source() THESE FILES!
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# If there are portions you don't understand, use R's help system, Google for an
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# answer, or ask your instructor. Don't continue if you don't understand what's
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# going on. That's not how it works ...
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#
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# ==============================================================================
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# === TASK: Local script
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#
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# - Open the file myScript.R
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# - Update the header of the script to emulate the header of the file you are
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# reading right now. Don't bother giving the myScript.R file version numbers
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# though.
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# - Create a section header with a date.
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# - Enter an R-expression that will produce the first 21 powers of 2 (starting
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# from 0). Not a loop - a single expression. The first number you get must
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# be 1. The last number you get must be 1024.
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# - Save the file.
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#
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#
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# ==============================================================================
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" Introduction:
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...
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"
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# ==============================================================================
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# PART ONE: REVIEW
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# ==============================================================================
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# == SECTION ===================================================================
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# == Subsection
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# Continue ...
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# ==============================================================================
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# APPENDIX: OUTLOOK
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# ==============================================================================
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"There are many more functions for ... that this tutorial did not cover. You should know about the following. Look up the function and write a short bit of example code that uses it:"
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?subset
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?sweep
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?with # ... and within()
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"Then you should know about the following packages. Open the vignette and browse through it. You should know be able to come up with least one use-case where the package functions would be useful:
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https://cran.r-project.org/web/packages/magrittr/
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"
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# [END]
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