Resources
|
What follows is an assortment of things that I thought would be useful
to other people. Most are things that I use, or have used, and that
have been particularly helpful.
|
Graduate studies
|
- Scott Keogh's page with Lots of Advice for Graduate Students. In particular, I found the comments by Stearns and Huey useful when I was a student.
- Re-envisioning
the Ph.D. -- A
collection of materials and resources pertaining to graduate
education. The name of the site
refers to Ph.D. students, but there is material
that applies to graduate education in general.
|
|
Computing
|
- Computing resources at the University of Wyoming
- Linux--an open-source operating system. Various vendors
package the base system with powerful tools that give you full use and control of your
computer. Linux is available for a large number of computer
architectures (on CD from vendors, or for free
online). These days I
use it on Intel-compatible systems (e.g., Fedora,
CentOS).
- For additional UNIX tools on Mac OS X, I use the packages
provided by the FINK
project.
- Perl (Practical
Extraction and Report Language)--a
programming language that is an
invaluable tool for working with datasets, extracting data
from text files, or writing interactive web pages. A set
of perl tools specific to biology is available from
BioPerl.
- For choosing colors for on-screen presentations and
manuscripts, ColorBrewer provides some
valuable guidance. It's not just for maps. There is also an
implementation of this for R (package RColorBrewer).
- My PGP public key is
available (CBE4A912).
|
|
Math and Statistics
|
- R--A language
and environment for statistical computing
and excellent graphics.
R provides a wide variety of
statistical and graphical techniques (linear and nonlinear
modeling, statistical tests, time series analysis, classification,
clustering, etc.). R is available at no cost
for Windows, Mac OS, linux and various forms of Unix.
- GSL--The GNU
Scientific Library A library of mathematical
functions for C-programmers. Includes lots of essential
things: good random number generators, memory allocation
routines, statistics etc.
- Links related to numerical analysis:
|
|
