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1、SASRandData Management, Statistical Analysis, and Graphics 2010 by Taylor and Francis Group, LLCSASRandData Management, Statistical Analysis, and GraphicsKen Kleinman Nicholas J. HortonChapman & Hall/CRC Taylor & Francis Group6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 2010 by
2、Taylor and Francis Group, LLCChapman & Hall/CRC is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government worksPrinted in the United States of America on acid-free paper 10 9 8 7 6 5 4 3 2 1International Standard Book Number: 978-1-4200-7057-6 (Hardback)This b
3、ook contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publ
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6、rmation storage or retrieval system, without written permission from the publishers.For permission to photocopy or use material electronically from this work, please access www.copyright. com (http:/ or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-75
7、0-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For organizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged.Trademark Notice: Product or corporate names may be trademarks or regis
8、tered trademarks, and are used only for identification and explanation without intent to infringe.Library of Congress Cataloging-in-Publication DataKleinman, Ken.SAS and R : data management, statistical analysis, and graphics / Ken Kleinman and Nicholas J. Horton.p. cm.Includes bibliographical refer
9、ences and index. ISBN 978-1-4200-7057-6 (hard back : alk. paper)1. SAS (Computer program language) 2. R (Computer program language) 3. SAS (Computer file) I. Horton, Nicholas J. II. SAS Institute. III. Title.QA76.73.S27K54 2010005.3-dc222009020819 2010 by Taylor and Francis Group, LLCContentsList of
10、 FiguresxiiiList of TablesxvPrefacexvii1 Data management11.1 Input11.1.1 Native dataset11.1.2 Fixed format text les21.1.3 Reading more complex text les31.1.4 Comma separated value (CSV) les41.1.5 Reading datasets in other formats41.1.6 URL51.1.7 XML (extensible markup language)61.1.8 Data entry71.2
11、Output71.2.1 Save a native dataset71.2.2 Creating les for use by other packages81.2.3 Creating datasets in text format91.2.4 Displaying data91.2.5 Number of digits to display101.2.6 Creating HTML formatted output101.2.7 Creating XML datasets and output111.3 Structure and meta-data111.3.1 Access vari
12、ables from a dataset111.3.2 Names of variables and their types121.3.3 Values of variables in a dataset121.3.4 Rename variables in a dataset121.3.5 Add comment to a dataset or variable131.4 Derived variables and data manipulation131.4.1 Create string variables from numeric variables131.4.2 Create num
13、eric variables from string variables141.4.3 Extract characters from string variables141.4.4 Length of string variables151.4.5 Concatenate string variables151.4.6 Find strings within string variables151.4.7 Remove spaces around string variables161.4.8 Upper to lower case16v 2010 by Taylor and Francis
14、 Group, LLCviCONTENTS1.4.9 Create categorical variables from continuous variables171.4.10 Recode a categorical variable171.4.11 Create a categorical variable using logic181.4.12 Formatting values of variables181.4.13 Label variables191.4.14 Account for missing values191.4.15 Observation number211.4.
15、16 Unique values221.4.17 Lagged variable221.4.18 SQL231.4.19 Perl interface231.5 Merging, combining, and subsetting datasets231.5.1 Subsetting observations231.5.2 Random sample of a dataset241.5.3 Convert from wide to long (tall) format251.5.4 Convert from long (tall) to wide format261.5.5 Concatenate datasets261.5.6 Sort
