Difference between revisions of "BCH2024-2012"

Latest revision as of 18:15, 30 August 2012

Exploratory Data Analysis using R

This is the 2012 BCH2024 course on Exploratory data analysis using R taught by Boris Steipe at the University of Toronto.

All sessions will take place in MSB 3290.

Meeting times are:

In addition to the course sessions, there are a number of lab modules for you to work through at home.

Auditors are welcome IF they commit to participating actively in all sessions.

Grading will be 50% course participation and 50% mini project.

Course participation is:

Being prepared for and actively participating in class.
Contributing to e-mail discussion of questions arising from the course material or the lab modules.

The mini project comprises:

Search for an R package that implements an analysis relevant to EDA in the scope your thesis project. Alternatively you can come up with a creative, interesting use of the default R functionality in script form, or as a function that you write.
Summarize what you plan to do, eMail me your proposal and have me sign off on the suitability of the proposal.
Develop a script that guides a user through installation of the package (or defines your function) and executes a typical use case. Don't forget to include a sample dataset. Make sure your script is extensively annotated with comments and that you include notes on the interpretation of results.
Submit your script and sample data to me no later than Friday morning, Aug. 31.

Lecture slides

R scripts for ...

Data sets:

@@ Line 60: / Line 60: @@
 * ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_4_Regression.R Module 4 (Regression)]
 * ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_5_HypothesisTesting.R Module 5 (Hypothesis Testing)]
+* ... [http://biochemistry.utoronto.ca/steipe/abc/CourseMaterials/Module_6_PCA.R Module 6 (Principal Component Analysis)]
 Data sets: