Liviu Andronic escribió:
On Mon, Mar 1, 2010 at 11:49 PM, Liviu Andronic <landronim...@gmail.com> wrote:
On 3/1/10, Keo Ormsby <keo.orms...@gmail.com> wrote:
Perhaps my biggest problem was that I couldn't (and still haven't) seen
*absolute beginners* documents.
there was once a link posted on r-sig-teaching that would probably fit
your needs, but I cannot find it now.
OK, I found it. Below is an excerpt of that r-sig-teaching e-mail.
Liviu
On Thu, Jul 2, 2009 at 2:19 PM, Robert W. Hayden <hay...@mv.mv.com> wrote:
I think such a website would be a real asset. It would be most useful
if it either were restricted to intro. stats. OR organized so that
materials for real beginners were easy to extract from all the
materials for programmers and Ph.D. statisticians. As a relative
beginner myself, I find the usual resources useless. In self defense,
I created materials for my own beginning students:
http://courses.statistics.com/software/R/Rhome.htm
Hi Liviu,
This is indeed the best site for introduction I have seen. Although it
still assumes some things that at first might seem unintuitive to the
absolute beginner I talk about. For instance, in the first page, it
shows that you can do sqrt(x), where x can be a vector, and return a
vector of the square roots of each number. Although this is high school
matrix algebra, most users expect that the input to square root function
to be a single number, not a matrix, as in Excel or a calculator. Other
concepts that are not explicitly introduced are "R workspace", the use
of arguments in functions (with or without the "="), etc. Others are
things like diff(range(rainfall)) , where you have the output of one
function used as the input to another, all in the same command line. All
these things seem very basic, but can be difficult if you are trying to
learn on your own with no prior experience in programming.
I hope I am not sounding too difficult and contrarian, I am just trying
to share my experience with starting with R, and in trying to convey
this learning to my colleagues and students. In the end, I did find
everything I needed to learn, and now I feel at ease with R, and I
believe that almost anybody that can use Excel or something like it,
could learn R.
Thank you for the information,
Best wishes,
Keo.
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