I agree with you, and I really don't want to get into an argument over
the email list, but note that it can be difficult to follow along with
Matloff's examples because the data he's using aren't posted anywhere
(at least that I could find, if someone else knows where they are please
respond). Again, I think Matloff's book is very good, and I got a lot
out of reading it. You can try some of the examples. I do recommend it
to people. It may well be a good recommendation for this individual, in
addition to something else that provides exercises that he can practice on.
On 8/20/2012 12:52 PM, Robert Baer wrote:
On 8/20/2012 11:37 AM, Jeff Laux wrote:
Matloff's book is very good, but a critical shortcoming is that it
does not include exercises, so it may not meet the stated requirements.
Point well taken. The lack of Chapter-end exercises makes this book
not work well for a classroom environment, but the OP did say, "...
for a PhD student ...", and the book is full of exercises that the
author takes readers through. This collection of exemplars might be
perfect for self-study by a PhD student looking to move on to solve
his own problems.
Rob
On 8/20/2012 12:30 PM, Robert Baer wrote:
You could have him work through Norman Matloff's book, "The Art of R
Programming" which covers the things you list.
Rob
On 8/18/2012 3:47 PM, nf grinberg wrote:
cgenolin <cgenolin <at> u-paris10.fr> writes:
Hi the list,
I am looking for some exercices for a PhD student
that start to learn R. He already "read" some tutorial, but now he
needs
some practice.
He does *not* need to learn any statistical tools ; he
just needs to work on programmation concept. So I am looking for some
exercice sheet that will, for example, focus on :
- structuring the
data (data.frame / list / matrix / ...)
- using controle syntax (for
/ if / while / function)
- reading data
- ...
Any link for this
kind of material?
Sincerely
Christophe
[[alternative HTML version deleted]]
Hi Christophe,
The following set of exercises (by Robin Reed and myself) is aimed
at people
wishing to learn R in a non-statistical context (there are
exercises involving
matrices (and arrays) and vectors and writing functions).
Maybe your student might find them useful.
http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-
research/reed/rexercises.pdf (accessible from here
http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/reed
)
Best,
Nastasiya
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