Using R for Data Management, Statistical Analysis, and Graphics Nicholas J. Horton, Ken Kleinman
Publisher: CRC

A First Course in Statistical Programming with R W. R takes care of many our basic data management needs. A Handbook of Statistical Analyses Using R Data Analysis and Graphics Using R 3ed John Maindonald.pdf. Data manipulation with R.pdf Using R for Data Management,Statistical.Analysis,and.Graphics Nicholas J. An excellent introduction to R…the book meticulously covers data management, data structures, programming, graphics and basic statistical analysis in R. It can also produce graphics output in PDF, JPG, PNG, and SVG formats, and table output for LATEX and HTML. I want to share an excerpt from a book Data Mining with Rattle and R by-Graham Williams which captures in totality about advantages and disadvantages of R. Data Manipulation with R Robert Gentleman Kurt Hornik Giovanni Parmigiani.pdf. R allows you to produce exceptional data graphics. Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata. R is an awesome statistical analysis package. Data manipulation with r Phil Spector.pdf. R is the It incorporates all of the standard statistical tests, models, and analyses, as well as providing a comprehensive language for managing and manipulating data. I have used all of these programmes – and Stata's initial USP was graphics combined with reasonable data management and statistics, but it developed an active user community which has greatly expanded its statistical capabilities if your interests match those of the community. SAS and R : A plea for consistent style!code example from the Using R for Data Management , Statistical # Analysis and Graphics book # Nicholas Horton, Smith College December 21, 2010 # ds = read.csv(" attach(ds) . The prose is clear, the examples tied to their SPSS and SAS analogs.