[R] R for Linear Algebra

Richard M. Heiberger rmh @end|ng |rom temp|e@edu
Sat Jun 25 21:49:45 CEST 2022

Let me recommend my book

Statistical Analysis and Data Display:
An Intermediate Course with Examples in R (2nd edition),
Richard M. Heiberger and Burt Holland
Springer 2015

Section I.4 is a 23 page review of Topics in Matrix Algebra
with detailed references to appropriate R functions.
It is part of Appendix I: Mathematical Preliminaries.

The entire Appendix is a free download for everyone from Springer
Click on the "Back Matter" PDF link.

The "Back Matter" download includes the 19 page
Appendix G: Computational Precision and Floating-Point Arithmetic.
Appendix G is referenced in FAQ 7.31 and illustrates many of the
questions and answers that repeatedly reappear on the R-help list.

The book was designed for a first-year graduate statistical methods
course.  I (and others) have also used selected chapters for a second
year undergraduate course.

The entire book is available for download from the link above.
If your university library has the right arrangements with Springer,
then the entire book is a free download for you and your students.

And of course you can get a paper copy from the same web page.
From: R-help <r-help-bounces using r-project.org> on behalf of AbouEl-Makarim Aboueissa <abouelmakarim1962 using gmail.com>
Date: Thursday, June 23, 2022 at 10:42
To: R mailing list <r-help using r-project.org>
Subject: [External] [R] R for Linear Algebra
Re: R for Linear Algebra

Dear All:

In my STA 591 topics in Biostatistics Fall 2022, I am planning to spend
about 5 weeks on Linear Algebra.

I am wondering if someone has or knows the source for some R
functions/programs written for linear algebra calculations.

Also if you know a book in Linear Algebra with R, will be a good help too.

Any help in this matter is highly appreciated in advance.

With many thanks



*AbouEl-Makarim Aboueissa, PhD*

*Professor, Statistics and Data Science*
*Graduate Coordinator*

*Department of Mathematics and Statistics*
*University of Southern Maine*

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and provide commented, minimal, self-contained, reproducible code.

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