Albert, Jim. creator author. aut http://id.loc.gov/vocabulary/relators/aut Rizzo, Maria. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 2nd ed. 2024. monographic eng

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electronic resource

access XV, 454 p. online resource. 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. 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. by Jim Albert, Maria Rizzo. Statistics  Mathematical statistics Data processing Computer science Mathematics Mathematical statistics Statistics Coding theory Information theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing Probability and Statistics in Computer Science Statistical Theory and Methods Coding and Information Theory QA276-280 9783031760747 https://doi.org/10.1007/978-3-031-76074-7 https://doi.org/10.1007/978-3-031-76074-7 241210 20251030114611.0 978-3-031-76074-7