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019 ▼a 904404190
020 ▼a 9781482237375 ▼q (electronic bk.)
020 ▼a 1482237377 ▼q (electronic bk.)
020 ▼z 9781482237368
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0291 ▼a CHVBK ▼b 374475016
0291 ▼a DEBBG ▼b BV042622381
0291 ▼a DEBBG ▼b BV043611801
035 ▼a (OCoLC)903644071 ▼z (OCoLC)904404190
040 ▼a N$T ▼b eng ▼e rda ▼e pn ▼c N$T ▼d N$T ▼d EBLCP ▼d CUS ▼d E7B ▼d PSC ▼d OSU ▼d YDXCP ▼d CRCPR ▼d OCLCQ ▼d IDB ▼d MERUC ▼d OCLCQ ▼d YUS ▼d 248032
049 ▼a MAIN
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072 7 ▼a MAT ▼x 003000 ▼2 bisacsh
072 7 ▼a MAT ▼x 029000 ▼2 bisacsh
08204 ▼a 519.502855133 ▼2 23
1001 ▼a Horton, Nicholas J., ▼e author.
24510 ▼a Using R and RStudio for data management, statistical analysis, and graphics / ▼c Nicholas J. Horton, Ken Kleinman.
250 ▼a Second edition.
264 1 ▼a Boca Raton : ▼b CRC Press, ▼c [2015]
264 4 ▼c 짤2015
300 ▼a 1 online resource (xxiv, 289 pages) : ▼b illustrations
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
504 ▼a Includes bibliographical references (pages 243-253) and indexes.
5050 ▼a Front Cover; Contents; List of Tables; List of Figures; Preface to the second edition; Preface to the first edition; Chapter 1: Data input and output; Chapter 2: Data management; Chapter 3: Statistical and mathematical functions; Chapter 4: Programming and operating system interface; Chapter 5: Common statistical procedures; Chapter 6: Linear regression and ANOVA; Chapter 7: Regression generalizations and modeling; Chapter 8: A graphical compendium; Chapter 9: Graphical options and configuration; Chapter 10: Simulation; Chapter 11: Special topics; Chapter 12: Case studies.
5058 ▼a Appendix A: Introduction to R and RStudio; Appendix B: The HELP study dataset; Appendix C: References; Back Cover.
520 ▼a This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following themes: simulation, probability, statistics, mathematics/computing, and graphics. The authors have also added many other updates, including a discussion of RStudio-a very popular development environment for R.
5880 ▼a Print version record.
590 ▼a eBooks on EBSCOhost ▼b All EBSCO eBooks
650 0 ▼a R (Computer program language) ▼x Statistical methods.
650 0 ▼a Mathematical statistics ▼x Data processing.
650 7 ▼a MATHEMATICS ▼x Applied. ▼2 bisacsh
650 7 ▼a MATHEMATICS ▼x Probability & Statistics ▼x General. ▼2 bisacsh
655 4 ▼a Electronic books.
7001 ▼a Kleinman, Ken, ▼e author.
77608 ▼i Print version: ▼a Horton, Nicholas J. ▼t Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition. ▼d Hoboken : Taylor and Francis, 짤2015 ▼z 9781482237368
85640 ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=957543
938 ▼a CRC Press ▼b CRCP ▼n CAH0KE26085PDF
938 ▼a EBL - Ebook Library ▼b EBLB ▼n EBL1778311
938 ▼a ebrary ▼b EBRY ▼n ebr11022977
938 ▼a EBSCOhost ▼b EBSC ▼n 957543
938 ▼a YBP Library Services ▼b YANK ▼n 12059820
990 ▼a 관리자