R is an open source programming language favored by statisticians and some researchers, i would like to learn more about the feasibility of using R in data analysis and visualization.
In my opinion the best way to learn about R is to use it. At first it look complicated but you will pick up the basics quick and it can become a very powerful tool.
Some of the best guides are on the R project site there's one for every need check them out and you should be well on your way to becoming a R user
Craig's suggestion is spot on. The R Project Site has a wealth of information which can help get you started working with R.
I would also suggest the "Quick-R" website (link below) which is a sort of companion to the text by Robert Kabacoff ("R in Action").
http://www.statmethods.net/index.html
In addition, there are a number of great books (besides the one by Kabacoff that I mentioned) which can help get you started (these are just a few)......
J. Adler, R in a Nutshell
P. Dalgaard, Introductory Statistics with R
J. Maindonald & W.J. Braun, Data Analysis and Graphics Using R – an Example-Based Approach
As you become more acquainted with the language, there is a wealth of additional information that may be useful to you from several of the online message boards (e.g., Stack Overflow, StackExchange, etc.)
As Craig said, we must practice R. The best is to start with your data gradually. There are package very well suited to the analysis of ecological data: ADE4, Vegan, pastecs.
In the works are: Numerical Ecology with R, et al Borcard or online document Ecological Models and Data in R (~ http://ms.mcmaster.ca/ Bolker / emdbook / index.html).