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020 _a9783031760747
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024 7 _a10.1007/978-3-031-76074-7
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
100 1 _aAlbert, Jim.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988736
245 1 0 _aR by Example
_h[electronic resource] /
_cby Jim Albert, Maria Rizzo.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXV, 454 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUse R!,
_x2197-5744
505 0 _aIntroduction -- Quantitative Data -- Categorical Data -- Exploratory Data Analysis -- Presentation Graphics -- Importing Data -- Basic Inference Models -- Regression -- Analysis of Variance I -- Analysis of Variance II -- Randomization Tests -- Multivariate Data -- Simulation Experiments -- Bayesian Modeling -- Monte Carlo Methods.
520 _aNow in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are learning, teaching, or using statistics. Specifically, it is written for users who have covered at least the equivalent of (or are currently studying) undergraduate level calculus-based courses in statistics. These users are learning or applying exploratory and inferential methods for analyzing data, and this book is intended to be a useful resource for learning how to implement these procedures in R. The new edition includes expanded coverage of ggplot2 graphics, as well as new chapters on importing data and multivariate data methods.
650 0 _aStatisticsĀ .
_965982
650 0 _aMathematical statistics
_xData processing.
_964750
650 0 _aComputer science
_xMathematics.
_964041
650 0 _aMathematical statistics.
_967233
650 0 _aStatistics.
_965982
650 0 _aCoding theory.
_965513
650 0 _aInformation theory.
_957783
650 1 4 _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_966911
650 2 4 _aStatistics and Computing.
_966446
650 2 4 _aProbability and Statistics in Computer Science.
_967234
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aCoding and Information Theory.
_965515
700 1 _aRizzo, Maria.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988737
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031760730
776 0 8 _iPrinted edition:
_z9783031760754
830 0 _aUse R!,
_x2197-5744
_974728
856 4 0 _uhttps://doi.org/10.1007/978-3-031-76074-7
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c65604
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