The author provides an excellent overview of R. Jetzt bewerten Jetzt bewerten. The book is an elegant R companion, suitable for the statistically initiated who want to program their own analyses. All examples are directly runnable and all graphics in the text are generated from the examples. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. 
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I can recommend Introductory Statistics With R to its target audience. The statistical methodology covered includes …mehr.
Introductory Statistics with R (eBook, PDF) von Peter Dalgaard - Portofrei bei
For experienced statisticians and data analysts, the book provides a good overview of the basic statistical analysis capabilities of R and presumably prepares readers for later migration to S Klicken Sie auf 2.
They are illustrated by plenty of practical examples, all computed using R.
The author provides an excellent overview da,gaard R. I can recommend [this book] to its target audience. For experienced statisticians and data analysts, the book provides a good overview of the basic statistical analysis capabilities of R The present book is The book makes excellent use of fonts and intersperses graphics near the codes that produced them.
Introductory statistics with R - Semantic Scholar
The book is an elegant R companion, suitable for the statistically initiated who want to program their own analyses. The book is organized in 12 chapters and three appendices, each chapter ending with a beneficial section of proposed exercises. Where many constructs in R are very attractive for mathematical oriented users, e. Sie sind bereits eingeloggt. Explanation of statistical methods, together with an interpretation of statistical concepts, is the prevailing style of the text.
A supplementary R package can be downloaded and contains the data sets. Peter Dalgaard, University of Copenhagen, Denmark. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.
Hendriks, Kwantitatieve Methoden, Vol. Output from each procedure is dissected line by line to link R code with the computed result Um Ihnen ein besseres Nutzererlebnis zu bieten, verwenden wir Cookies.
Introductory statistics with R
This book will be useful for novices in applied statistics or in computing in R. I found the wealth of clear examples educational and a practical way to preview both R and S.
Jetzt bewerten Jetzt bewerten. The format of this compact book is attractive Brief sections introduce the statistical methods before they are used.
All examples are directly runnable and all graphics in the text are generated from the examples.
R is thus ideally suited for teaching at many levels as well ztatistics for practical data analysis and methodological development. It works on multiple computing platforms and can be freely downloaded. 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.
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