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

In practice, that means the analyst dumps some rows from a database, imports them into a session with the statistical package, generates some output, massages this for use by a client program, puts the output in some What makes R so popular with the data analysis crowd is a very large, and growing, set of functions (available as entities called packages) written mostly in R and easily available. Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata. Session 3: Statistics and Graphics - Introduction to base R graphics and lattice/ggplot2, Descriptive Statistics, Distribution Functions, Random Number Generation, Interactive Graphics Development. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. I also use it to write code (Making good progress but still learning) for managing and cleaning up hydrological and climate data (data aggregation, missing data, extracting indicators for testing etc.). This workshop on Programming with R : A Pragmatic Introduction is being conducted as a part of the series of workshops on Financial Data Analysis Using R from 9th August to 11th August, 2012, complemented by a two day workshop on Time Series Analysis using R. 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. The breadth of both data management capabilities, statistical analysis, and graphics are much larger in SPSS than in Excel. Muenchen R is a powerful and free software system for data analysis and graphics, with over 1200 add-on packages available. This book introduces R using SAS and SPSS terms, and demonstrates which of the to find equivalent R functions by looking up both SAS statements and SPSS commands. Maindonald and Braun: “Data Analysis and Graphics Using R”. I have recently started a PhD in Hydrology and have chosen R to perform the majority of my statistical analyses and to produce publication quality graphics.