Title: An introduction to R
Instructors: Dr. Noémie Becker, Dr. Eliza Argyridou, Prof. Dirk Metzler
Contents: R is a widely used tool for analysing data in biology. Therefore it is important to learn it. R is a free statistics software and can be downloaded from www.r-project.org. In the lecture students learn the necessary theoretical background for using R. They will become familiar with the basic data structures and control flows of the R programming language. In the tutorial, the students become familiar with R, by first trying simple commands and then learning to perform basic data analyses and to write simple program scripts.
Important information: Status on June 16th 2020 (update):Questions from students and answers:
Question 1: Topic: Sheet 8, Exercise 3. Question 1
Question 2: Topic: Sheet 8, Exercise 1. Question 2
Question 3: Topic: na.rm, function rm.NA, Sheet 8 Exercise 2. Question 3
Question 4: Topic: Sheet 8 Exercise 2. Question 4
Question 5: Topic: Sheet 9 Exercise 1. Question 5
Question 6: Topic: usage of functions, rm.NA(). Question 6
Question 7: Topic: Lecture 7, Slide 9. Question 7
Question 8: Topic: Sheet 6, Exercise 5. Question 8
Question 9: Topic: Sheet 8 Exercise 2. Question 9
Question 10: Topic: Sheet 8 Exercise 1. Question 10
Question 11: Topic: Sheet 9 Exercise 3. Question 11
Time: March 2, 2020 till March 12, 2020
Room: G 00.001
Time: 9:00-12:00
The afternoons are for preparing the exercises. We reserved the rooms C00.005, G00.037 and D00.009.
Exam:
The final exam will be rescheduled as soon as we can start teaching again
The make-up exam will be rescheduled
To take the make-up exam you need to register by e-mail to Noémie Becker before Date to be announced.
For both exams, you will have 90 minutes to answer the questions.
Participants can bring their personal assortment of formulas or notes on an A4 sheet.
This A4 can have any contents on both sides BUT ONLY IN YOUR OWN HANDWRITING! (no copy, not print-out, not another person's handwriting)
Material:
The course syllabus can be downloaded here: Syllabus
Handouts will be posted right after the lectures.
Note that the handouts may contain only a summary of the contents of the slides shown in the lecture. More detailed explanations are given on the whiteboard and with practical demonstrations during the lectures. The questions in the exam refer to the whole content of the course including lectures and exercises.
Lectures:
Links:
Requirements:
Basic understanding of statistics will be helpful.
Language
English
LSF-Link
An introduction to R (Lecture with exercises) (English)
Questions
Please send any questions to nbecker-at-bio.lmu.de.