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361por Lantz, Brett“…Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. …”
Publicado 2015
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362“…STATISTICS USING R will be useful at different levels, from an undergraduate course in statistics, through graduate courses in biological sciences, engineering, management and so on. …”
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363“…This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. …”
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366por Boehmke, Ph D , Bradley C“…This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. …”
Publicado 2016
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370por Bellazzini, Brando, Mariotti, Alberto, Redigolo, Diego, Sala, Filippo, Serra, Javi“…We study the effective theory of a generic class of hidden sectors where supersymmetry is broken together with an approximate R-symmetry at low energy. The light spectrum contains the gravitino and the pseudo-Nambu-Goldstone boson of the R-symmetry, the R-axion. …”
Publicado 2017
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371
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373“…This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. …”
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376por Mair, Patrick“…Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. …”
Publicado 2018
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377por Kelley, Dan E“…This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R instead of more widely-used tools of the field such as MATLAB. …”
Publicado 2018
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378“…This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. …”
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