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Description: |
xvi, 414 pages : illustrations ; 25 cm |
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Contents Note: |
Contents: Data -- Univariate data -- Bivariate data -- Multivariate data -- Describing populations -- Simulation -- Confidence intervals -- Significance tests -- Goodness of fit -- Linear regression -- Analysis of variance -- Two extensions of the linear model. |
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Summary, Etc. Note: |
Review: "The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption." "Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models."--Jacket. |