# ABC-units.R # # Purpose: A Bioinformatics Course: R code for learning units # # Version: 4.0 # # Date: 2020 09 16 # 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 # V 0.1 First code # # TODO: # # # == HOW TO WORK WITH LEARNING UNIT FILES ====================================== # # 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. # 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 # 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. # # 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 ... # # # ============================================================================== # Once you have typed and executed the function init(), you will find a file # called myScript.R in the project directory. # # 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 -F find function. To # cross-reference code in your journal, create section headings. # # ============================================================================== # The individual learning units' files can be opened by simply clicking on them # in the File pane. # [END]