R for Statistics
Reader
Course Information
First of all welcome to MAT27803. In the following sections you can read information about your participation in this course.
Educational aids
- Book: An Introduction to Statistical Methods & Data Analysis by R. Lyman Ott and Michael Longnecker, 7th edition, CENGAGE Learning (available from Studystore). The 6th edition , Brooks/Cole, may also be used.
- MAT27803 R for Statistics Reader
- Presentations (available as handouts via Brightspace, see below)
Brightspace site of MAT27803
On Brightspace, you will find, among other things, answers to exercises, handouts of the presentations. The easiest way to access this site is usually from your personal myWURtoday page. You need to have an account and to be registered for the course. The URL for Brightspace is https://brightspace.wur.nl
Attendance during MAT27803
During the course MAT27803 “R for Statistics” attendance is compulsory on Monday, Tuesday, Wednesday and Thursday. This is the case for any practical at Wageningen University & Research. On Friday attendance is voluntary, but recommended in case you have questions about the assignment or about previous computer lab days. Your attendance will be registered during the course, and you require a pass for attendance. In case of a fail for attendance you will receive an partially completed for the course, meaning you have not passed the course yet.
You are allowed to miss one computer lab day without any explanation. If you really have a sound and valid reason, you will be allowed to miss a second computer lab day. In case you know this in advance contact one or both course coordinators (see section Coordinators below), and explain why you will miss another computer lab. The lecturers will decide, whether the reason is good enough to miss a second computer lab day.
In case of three missed computer labs, the rules of baseball will be applied. Meaning, three strikes and you are out. This will cause you to immediately fail MAT27803 R for Statistics.
End Grade for MAT27803
The end grade for MAT27803 will be calculated on three assignments you have to hand in during the course.
There will be two end-of-the-week assignments (week 1 and 2), which will make up one-sixth each of your end grade. At the end of the third week of the course on Friday you will be given the end assignment (a.k.a. the exam) for MAT27803 “R for Statistics”. You will have a full week to work on this assignment and it will make up two-thirds of your end grade for the course.
All assignments need to be submitted before or on the set deadline.
Failing to submit the end-of-the-week assignments on time will have consequences for your end grade. Submitting one day later will mean the grade of the assignment will only count for 80%, two days later 60% and so on. Submission after Friday morning will cause failing the course!
Failing to submit the end assignment on time will cause you to immediately fail the course.
The end grade will be a weighted average of the assignments, with the weights as defined in the above text. The validity of your end grade depends on whether you received a pass on attendance.
In case you have handed in (at least) one end-of-the-week assignment, which got graded above 5.5, you will get a partially completed as end grade. This still means you did not pass.
Coordinators
| Name | Building/Floor | |
|---|---|---|
| dr. S. (Sara) Bahrami | Radix West (107) / 4th floor | Sara.Bahrami@wur.nl |
| dr. M. (Maikel) P.H. Verouden | Radix West (107) / 4th floor | Maikel.Verouden@wur.nl |
About the Course Reader
In this reader for the course “R for Statistics” no prompts are added to R source code, and text output is commented out by default by #>. Package names are given in bold text, e.g. stats package. Function names are shown in italic (e.g., paste()), and object names are displayed in bold italic text (e.g. soapData). Inline code, function arguments, and file names are formatted and displayed in a typewriter font (e.g., for inline code with function arguments: mean(1:10, trim = 0.1), and a file name: figure/foo.pdf).
Whenever the term O&L is used to reference to theory, it means that this material can be found in the book of Ott & Longnecker as described in the section Educational Aids of the Course Information.