03552nam a22006135i 4500 978-3-031-76074-7 DE-He213 20251030114611.0 cr nn 008mamaa 241210s2024 sz | s |||| 0|eng d 9783031760747 978-3-031-76074-7 10.1007/978-3-031-76074-7 doi QA276-280 PBT bicssc MAT029000 bisacsh PBT thema Albert, Jim. author. aut http://id.loc.gov/vocabulary/relators/aut 88736 R by Example [electronic resource] / by Jim Albert, Maria Rizzo. 2nd ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 454 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Use R!, 2197-5744 Introduction -- 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. Now 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. Statistics . 65982 Mathematical statistics Data processing. 64750 Computer science Mathematics. 64041 Mathematical statistics. 67233 Statistics. 65982 Coding theory. 65513 Information theory. 57783 Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 66911 Statistics and Computing. 66446 Probability and Statistics in Computer Science. 67234 Statistical Theory and Methods. Coding and Information Theory. 65515 Rizzo, Maria. author. aut http://id.loc.gov/vocabulary/relators/aut 88737 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031760730 Printed edition: 9783031760754 Use R!, 2197-5744 74728 https://doi.org/10.1007/978-3-031-76074-7 ZDB-2-SMA ZDB-2-SXMS 65604 65604