SAS and R : Data Management, Statistical Analysis, and Graphics, Hardcover by...

Description: SAS and R : Data Management, Statistical Analysis, and Graphics, Hardcover by Kleinman, Ken; Horton, Nicholas. J., ISBN 1466584491, ISBN-13 9781466584495, Like New Used, Free shipping in the US An excellent addition for one's statistical programming bookshelf, this textbook, now in its second edition, fills in an important pedagogical gap. It dos not purport to teach the reader how to program in SAR and R, but, rather, provides the all-important information on how to use these powerful programs. Plenty of code snippets illustrate specific statistical and mathematical functions, interfaces, the all-important issues of input and output (often sadly neglected)the management of data, regression and linear models, a wealth on information on graphing in general as well as graphical options and configuration and simulation. A section is dedicated to case studies, illustrating the concepts described previously. Appendices provide a basic introduction to R and SAS--but some previous knowledge of the syntax of those languages and at least some programming experience are required. The new edition draws on explorations and discussions from a blog that followed the first edition; much of the new material is adapted form the blog entries, and material in general is reorganized and streamlined. In particular, usage of R is now dependent on RStudio, a powerful programming environment, and several new and expanded R packages. Annotation ©2014 Ringgold, Inc., Portland, OR ()

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