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Statistical Programming in SAS - A. John Bailer

Statistical Programming in SAS

By: A. John Bailer

eText | 28 January 2020 | Edition Number 2

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Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming.

The coverage of statistical programming in the second edition includes

Getting data into the SAS system, engineering new features, and formatting variables

Writing readable and well-documented code

Structuring, implementing, and debugging programs that are well documented

Creating solutions to novel problems

Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analyses

Generating general solutions using macros

Customizing output

Producing insight-inspiring data visualizations

Parsing, processing, and analyzing text

Programming solutions using matrices and connecting to R

Processing text

Programming with matrices

Connecting SAS with R

Covering topics that are part of both base and certification exams.

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Non-FictionEconomicsEconometricsEconomic StatisticsMathematicsProbability & StatisticsSociology & AnthropologySociologySocial Research & StatisticsComputing & I.T.Business ApplicationsMathematical & Statistical Software

Other Editions and Formats

Paperback

Published: 9th December 2019

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