- We will send in 10–14 business days.
/https://libri-media.knygos-static.lt/7b92206a-33da-4138-89f2-1bd79fd6eff4/3)
- Author: Peter Dalgaard
- Publisher: Springer-Verlag GmbH
- Year: 2008
- ISBN-10: 0387790535
- ISBN-13: 9780387790534
- Format: 15.6 x 23.6 x 2.5 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 24d.08:33:11
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Peter Dalgaard
- Publisher: Springer-Verlag GmbH
- Year: 2008
- ISBN-10: 0387790535
- ISBN-13: 9780387790534
- Format: 15.6 x 23.6 x 2.5 cm, kieti viršeliai
- Language: English English
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.
Reviews