*clearly*&

*intuitively*see the process of an algorithm such as

*X*?

_{n+1}:= X_{n}- γF'(X_{n})[This site is to be moved to http://animation.yihui.name!] The goal of this site it to illustrate various statistical concepts, computing processes and statistical data through the way of *animations* using R -- a language and environment for statistical computing and graphics, or, to put it short, "To make it *interesting* to learn and use statistical methods and do statistical analyses".

My examples will start from the basic theories of probability and mathematical statistics (CLT, estimation & hypothesis testing, etc), then go through classical linear models and nonparametric statistics, and finally be diversified into several directions such as time series, multivariate statistics, econometrics, numerical optimization, data mining and machine learning, etc. Here is a description about how to make animations.

My reason is extremely simple: because R is a* language* based on *S* for *statistics*. (Actually there are *three* reasons which I've marked in *italic* fonts!)

My name is Yihui XIE, and I'm just a little nobody studying in the School of Statistics, Renmin University of China. The coverage rate of my interests in the field of statistics is somewhat big currently, however, what I like most is to interprete the theories and outputs of statistical methods through the way of graphics (probably) because I always tend to think in a geometric way instead of an algebraic way.

You may contact me via email cat('xieyihui', 'gmail.com', sep = '@') or telephone 86-10-82509086, or leave me a message in my guestbook or in my blog. Comments and suggestions are warmly welcome (including advice on my English as it's not my mother tongue).

All the examples in this site are created on my own ( I can guarantee an alpha = 0.01), and you are free to cite them in your work, as long as you keep the links of those original pages. Please do tell me in case I had omitted any citations about your work.