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Beginning of exercises: Monday, 02/25/2013.
Exercises
The exercises will be held roughly every second week in the lecture room HG E1.2.
Handing in of exercises
The solved exercises can be handed in in the lectures where an assistant will pick them up. Sending them via e-mail (see comment below) or placing them in the corresponding tray in HG J68 until 11.55am of the due date is another option. Please write down your findings and comments. You can support this with a few plots, but please avoid handing in any R-code or an excessive amount of plots.
If you hand in exercises by e-mail, please attach your solutions in PDF format and send them to Patric Müller or Preetam Nandy. Make sure that the file name of your attached PDF starts with your complete name, e.g. use a file name like "Hans Meier Series 1.pdf".
Sheets |
Discussion |
Solutions |
Sheet 1 |
02/25/2013 |
Solution 1 |
Sheet 2 | 03/11/2013 | Solution 2 |
Sheet 3 |
03/25/2013 |
Solution 3 |
Sheet 4 |
04/15/2013 |
Solution 4 |
Sheet 5 | 04/29/2013 | Solution 5 |
Sheet 6 | 05/13/2013 |
Solution 6 |
Notice
The exercises, but also the classes will be based on procedures from the freely available, open-source statistical software package R.
Some
basic previous knowledge of R is required. If you lack this previous
knowledge, do not worry. You can quickly and easily gain it by going
over one of the many tutorials which are available. We recommend
chapters 1-5 of
http://www.cyclismo.org/tutorial/R/,
or, going through the entire content of
http://math.illinoisstate.edu/dhkim/rstuff/rtutor.html.
The
classic resource for the basics on R is the manual “An Introduction to
R”, which is quite a bit longer and more technical, but a very
worthwhile read:
http://cran.r-project.org/doc/manuals/R-intro.html
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