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001 9780429448294
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040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429827273
020 _a042982727X
020 _a9780429448294
_q(electronic bk.)
020 _a0429448295
_q(electronic bk.)
020 _a9780429827266
_q(electronic bk. : EPUB)
020 _a0429827261
_q(electronic bk. : EPUB)
020 _a9780429827259
_q(electronic bk. : Mobipocket)
020 _a0429827253
_q(electronic bk. : Mobipocket)
020 _z9781138329164
020 _z1138329169
020 _z1138329258
020 _z9781138329256
035 _a(OCoLC)1080638372
035 _a(OCoLC-P)1080638372
050 4 _aQA276.45.R3
_bH39 2018eb
072 7 _aMAT
_x003000
_2bisacsh
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aPBT
_2bicssc
082 0 4 _a519.50285/5133
_223
100 1 _aHay-Jahans, Christopher,
_eauthor.
245 1 0 _aR companion to elementary applied statistics /
_cChristopher Hay-Jahans.
264 1 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_c2018.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThe R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways to bring data into R, manipulate the data as needed, perform common statistical computations and elementary exploratory data analysis tasks, prepare customized graphics, and take advantage of R for a wide range of methods that find use in many elementary applications of statistics. Features: Requires no familiarity with R or programming to begin using this book. Can be used as a resource for a project-based elementary applied statistics course, or for researchers and professionals who wish to delve more deeply into R. Contains an extensive array of examples that illustrate ideas on various ways to use pre-packaged routines, as well as on developing individualized code. Presents quite a few methods that may be considered non-traditional, or advanced. Includes accompanying carefully documented script files that contain code for all examples presented, and more. R is a powerful and free product that is gaining popularity across the scientific community in both the professional and academic arenas. Statistical methods discussed in this book are used to introduce the fundamentals of using R functions and provide ideas for developing further skills in writing R code. These ideas are illustrated through an extensive collection of examples. About the Author: Christopher Hay-Jahans received his Doctor of Arts in mathematics from Idaho State University in 1999. After spending three years at University of South Dakota, he moved to Juneau, Alaska, in 2002 where he has taught a wide range of undergraduate courses at University of Alaska Southeast.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aStatistics
_xData processing.
650 0 _aR (Computer program language)
650 7 _aMATHEMATICS / Applied
_2bisacsh
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429448294
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c126484
_d126484