SAS Programming - Neil H. Spencer

SAS Programming

The One-Day Course

(Autor)

Buch | Hardcover
208 Seiten
2017
CRC Press (Verlag)
978-1-138-46938-9 (ISBN)
219,95 inkl. MwSt
Presents an introduction to using the SAS programming language. This title offers a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. Including explanations of how to carry out data manipulations that real-life data call for, it contains 'tasks' for the reader, with solutions.
Aimed at researchers and students , SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in material prepared by the author for a one-day course in SAS programming, and the fact that it has been developed from a training course is reflected in the concise nature of the presentation.

Unlike other introductory competitors on the market, this is a pocket-sized reference that does not clutter the programming techniques presented by trying to teach statistical techniques at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for, each programming technique is supported by tasks to develop skills and confidence. It also contains "tasks" for the reader, complete with solutions. Datasets and the programming code are available to download from www.crcpress.com/e_products/downloads.

Once readers have mastered the topics covered in the book, they will be well placed to learn further aspects of SAS programming.

Neil H. Spencer

Introducing SAS. Reading Data into SAS. Saving and Output of SAS Datasets. Manipulating Datasets. Restructuring Datasets. Summarising Data. Tabulating Data. Format and Saving of SAS Output. Graphics in SAS. An Introduction to Macros. Appendices.

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 129 x 198 mm
Gewicht 453 g
Themenwelt Mathematik / Informatik Mathematik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 1-138-46938-6 / 1138469386
ISBN-13 978-1-138-46938-9 / 9781138469389
Zustand Neuware
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