"R language Combat" reading notes--why Learn

I recently internship in a consulting company, involving a number of data analysis work, using the R language to process data. However, in the application process, found that with R is very unskilled, so you want to learn again R. Once spent one months to read the "R language programming Art", also used R as Ali's recommended algorithm competition, the R language has some of the most elementary, basic understanding. However, although the above book is very good, but not suitable for the crash, is written from the programmer's point of view, the common functions and statistical knowledge is not much involved. In the actual work, it is very important to find the appropriate application of R's package and function, so I intend to find another book to see. In the school put a "R language combat", but did not bring it over, use the electronic version of the study it again.

I think I should follow the following principles to learn:

1, Rapid. Because there is a basic understanding of R, there is some understanding of statistics, so when learning the focus on the study of specific functions and data processing, others on the r itself moderately reduced.

2, attach importance to the case in the book. The actual work experience tells me that the data is generally not ideal, so how to better adapt to this situation? Learn more about practical cases.

3, as far as possible to learn some advanced R language knowledge, such as R and database Ah, with R machine learning, with R editing documents, of course, this is just a wish.

4, write a blog less nonsense, write more refined words. Blogging is time-consuming, but high-value, so when writing R language learning notes, use high-quality code and refined statements, others less.

2015.7.31

"R language Combat" reading notes--why Learn