R (BGU course)
Jonathan D. Rosenblatt
Chapter 1 Preface
This book accompanies BGU’s “R” course, at the department of Industrial Engineering and Management. It has several purposes:
- Help me organize and document the course material.
- Help students during class so that they may focus on listening and not writing.
- Help students after class, so that they may self-study.
At its current state it is experimental. It can thus be expected to change from time to time, and include mistakes. I will be enormously grateful to whoever decides to share with me any mistakes found.
I am enormously grateful to Yihui Xie, who’s bookdown R package made it possible to easily write a book which has many mathematical formulae, and R output.
I hope the reader will find this text interesting and useful.
For reproducing my results you will want to run
1.1 Notation Conventions
In this text we use the following conventions: Lower case \(x\) may be a vector or a scalar, random of fixed, as implied by the context. Upper case \(A\) will stand for matrices. Equality \(=\) is an equality, and \(:=\) is a definition. Norm functions are denoted with \(\Vert x \Vert\) for vector norms, and \(\Vert A \Vert\) for matrix norms. The type of norm is indicated in the subscript; e.g. \(\Vert x \Vert_2\) for the Euclidean (\(l_2\)) norm. Tag, \(x'\) is a transpose. The distribution of a random vector is \(\sim\).