书目名称 | Introductory Statistics with R | 编辑 | Peter Dalgaard | 视频video | | 概述 | New material on Poisson and nonlinear regression.Expanded coverage of data handling issues.Answers to exercises now provided.Updated to R 2.6.2 | 丛书名称 | Statistics and Computing | 图书封面 |  | 描述 | .This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. .All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.. | 出版日期 | Textbook 2008Latest edition | 关键词 | ANOVA; Analysis; Analysis of variance; Curve fitting; Descriptive statistics; Fitting; Open Source; Regress | 版次 | 2 | doi | https://doi.org/10.1007/978-0-387-79054-1 | isbn_softcover | 978-0-387-79053-4 | isbn_ebook | 978-0-387-79054-1Series ISSN 1431-8784 Series E-ISSN 2197-1706 | issn_series | 1431-8784 | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2008 |
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