bch441-work-abc-units/ABC-units.R

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# ABC-units.R
#
# Purpose: A Bioinformatics Course: R code for learning units
#
# Version: 4.0
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#
# Date: 2020 09 16
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# Author: Boris Steipe (boris.steipe@utoronto.ca)
#
# Versions:
# V 4.0 2020 version
# V 3.0 2019 version
# V 2.0 2018 version
# V 1.0 2017 version
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# V 0.1 First code
#
# TODO:
#
#
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# == HOW TO WORK WITH LEARNING UNIT FILES ======================================
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#
# The R-scripts and datasets in this project will be continuously updated,
# and updates will be posted on GitHub. To bring your version into the latest
# state use the Git-pane (top left) and "pull" (blue downward arrow) from the
# repository. However, this will overwrite locally edited version of files.
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# To edit code and experiment with it, for example to add your own comments and
# examples, save your edited version into the "myScripts" folder. Otherwise you
# may have problems with git when you update the project to a new version. It's
# good practice to change the filename, for example by prepending your initials.
# This helps distinguish the files you are working with e.g. in a list of
# recent files. For example if your name is Honjo Tasuku, your edited
# BIN-Sequence.R might be named HT-BIN-Sequence.R
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# If you pull from github and get the following type of error ...
# ---------------
# error: Your local changes to the following files would be
# overwritten by merge
# ...
# Please commit your changes or stash them before you can merge.
# ---------------
# ... then, you need to bring the offending file into its original state.
# Open the Commit window, select the file, and click on the Revert button.
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#
# When working with these script DO NOT SIMPLY source() THESE FILES!
# If there are portions you don't understand, use R's help system, Google for an
# answer, or ask your instructor. Don't continue if you don't understand what's
# going on. That's not how it works ...
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#
#
# ==============================================================================
# Once you have typed and executed the function init(), you will find a file
# called myScript.R in the project directory.
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#
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# Open it, you can place all of your code-experiments and notes into that
# file. This will complement your "Course Journal". If you keep all contents in
# this one file, you can find everything by using the <cmd>-F find function. To
# cross-reference code in your journal, create section headings.
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#
# ==============================================================================
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# The individual learning units' files can be opened by simply clicking on them
# in the File pane.
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# [END]