Introductory Statistics with R by Peter Dalgaard 2nd Version (2008)


Introductory Statistics with R by Peter Dalgaard 2nd Version (2008)


From the critiques:

“…in depth, effectively organized, and effectively documented…The e-book is a sublime R companion, appropriate for the statistically initiated who wish to program their very own analyses. For skilled statisticians and information analysts, the e-book supplies overview of the fundamental statistical evaluation capabilities of R and presumably prepares readers for later migration to S…The format of this compact e-book is engaging…The e-book makes glorious use of fonts and intersperses graphics close to the codes that produced them. Output from every process is dissected line by line to hyperlink R code with the computed outcome…I can advocate [this book] to its target market. The creator supplies a wonderful overview of R. I discovered the wealth of clear examples instructional and a sensible option to preview each R and S.”

“The scope of the e-book, introductory statistics, is a really helpful set of strategies in parametric and non-parametric statistics as much as logistic regression and survival evaluation. … The place many constructs in R are very engaging for mathematical oriented customers, e.g. matrices, Dalgaard succeeded in convincing me that with little further effort they are often made very helpful to much less mathematically oriented folks, e.g. by specifying row and column names, and proposing fairly engaging methods to specify for instance ‘subsets’ of rows and columns.” (Dr. H. W. M. Hendriks, Kwantitatieve Methoden, Vol. 72B8, 2003)

“R is an Open Supply implementation of the well-known S language. It really works on a number of computing platforms and could be freely downloaded. R is thus ideally fitted to instructing at many ranges in addition to for sensible information evaluation and methodological growth. This e-book supplies an elementary-level introduction to R, focusing on each non-statistician scientists in numerous fields and college students of statistics. … Temporary sections introduce the statistical strategies earlier than they’re used. A supplementary R bundle could be downloaded and comprises the information units.” (Zentralblatt für Didaktik der Mathematik, August, 2004)

“It is a good e-book on statistical strategies and statistical computing in R, a language and atmosphere for statistical computing and graphs: this dialect of the S language is on the market as free software program by way of web. … Rationalization of statistical strategies, along with an interpretation of statistical ideas, is the prevailing type of the textual content. They’re illustrated by loads of sensible examples, all computed utilizing R. This e-book shall be helpful for novices in utilized statistics or in computing in R.” (European Mathematical Society Publication, September, 2003)

“The e-book is a sublime R companion, appropriate for the statistically initiated who wish to program their very own analyses. For skilled statisticians and information analysts, the e-book supplies overview of the fundamental statistical evaluation capabilities of R … prepares readers for later migration to S. … I can advocate Introductory Statistics With R to its target market. The creator supplies a wonderful overview of R. I discovered the wealth of clear examples instructional and a sensible option to preview each R and S.” (Thomas D. Sandry, Technometrics, Vol. 45 (3), 2003)

“R is each a statistical laptop atmosphere and a programming language designed to carry out statistical evaluation and to provide enough corresponding graphics. … The current e-book is … a really helpful information for introducing numerous fundamental ideas and methods essential to sensible statistics, overlaying each elementary statistics and precise programming within the R language. The e-book is organized in 12 chapters and three appendices, every chapter ending with a useful part of proposed workouts.” (Silvia Curteanu, Zentralblatt MATH, Vol. 1006, 2003)

From the critiques of the second version:

“This assessment … roughly cowl the introductory matters of a primary 12 months statistics course. The Introductory Statistics with R (ISwR) e-book is focused for a biometric/medical viewers. It covers extra matters … like a number of regression and survival evaluation and expects the reader to find out about fundamental statistics. … embody examples and graphs along with the R code to assemble them. … The ISwR e-book is sweet for a tutorial and biometric viewers.” (Wolfgang Polasek, Statistical Papers, Vol. 52, 2011)

“It is a welcome addition to the brand new version that shall be appreciated by its customers. … The brand new version is effectively written, and the brand new supplies are effectively integrated. Like the primary version, this version will proceed to be helpful to the target market, and I can safely advocate it to them.” (Technometrics, Vol. 51 (2), Could, 2009)

From the Again Cowl

R is an Open Supply implementation of the S language. It really works on a number of computing platforms and could be freely downloaded. R is now in widespread use for instructing at many ranges in addition to for sensible information evaluation and methodological growth.

This e-book supplies an elementary-level introduction to R, focusing on each non-statistician scientists in numerous fields and college students of statistics. The primary mode of presentation is by way of code examples with liberal commenting of the code and the output, from the computational in addition to the statistical viewpoint. A supplementary R bundle could be downloaded and comprises the information units.

The statistical methodology consists of statistical normal distributions, one- and two-sample exams with steady information, regression evaluation, one- and two-way evaluation of variance, regression evaluation, evaluation of tabular information, and pattern dimension calculations. As well as, the final six chapters comprise introductions to a number of linear regression evaluation, linear fashions usually, logistic regression, survival evaluation, Poisson regression, and nonlinear regression.

Within the second version, the textual content and code have been up to date to R model 2.6.2. The final two methodological chapters are new, as is a chapter on superior information dealing with. The introductory chapter has been prolonged and reorganized as two chapters. Workouts have been revised and solutions at the moment are offered in an Appendix.

Peter Dalgaard is affiliate professor on the Division of Bio-statistics on the College of Copenhagen and has in depth expertise in instructing inside the PhD curriculum on the College of Well being Sciences. He has been a member of the R Core Group since 1997.

Concerning the Writer

Peter Dalgaard is affiliate professor on the Biostatistical Division on the College of Copenhagen and has in depth expertise in instructing inside the PhD curriculum on the College of Well being Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Group since August 1997 and is well-known amongst R customers.



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