Using R for Introductory Statistics Review

Average Reviews:

(More customer reviews)Are you looking to buy Using R for Introductory Statistics? Here is the right place to find the great deals. we can offer discounts of up to 90% on Using R for Introductory Statistics. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Using R for Introductory Statistics ReviewThis book doesn't show up under most listings for books about R, but it should. It's a very solid introduction to using R -- including installation, configuration, and some progrmaming -- for basic statistical work. My only complaint is that it wasn't quite comprehensive enough -- not enough examples were given and not enough discussion on important functions and parameters were present. Also, the index is atrocious.
I would recommend it as a good book to get going, but for in depth work you'll be referring to the HTML help a lot.Using R for Introductory Statistics OverviewThe 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.This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics. This is an ideal text for integrating the study of statistics with a powerful computational tool.

Want to learn more information about Using R for Introductory Statistics?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

S Programming Review

Average Reviews:

(More customer reviews)Are you looking to buy S Programming? Here is the right place to find the great deals. we can offer discounts of up to 90% on S Programming. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

S Programming Review
For those seeking an introduction to programming in S, or seeking information on how to use S for statistical applications, this is NOT a good choice as a "first purchase", nor is it intended to be. Instead, choose these authors' other textbook, Modern Applied Statistics with S-Plus.
This book isn't primarily about using S, using S-PLUS (a commercial version of S), nor using R (an Open Source version of S), but rather, it's about showing how to write programming extensions to the base S functions. In fact, for those seeking such guidance, this is the book's great virtue.
It's written by two world-class authorities on the subject of S programming, persons who are generous in their efforts to help others and who can be contacted through the Internet. However, this particular text assumes the reader is already committed to using S, and hence, contains little 'motivational' material. Yet for the audience to whom it's addressed, it's essential, or at least highly recommended, reading.
The latest commercial version of S (S-PLUS 2000 from Mathsoft, Inc.) has a graphical user interface (GUI). A chapter is included in the latter portion of the book on how to program such interfaces.
Also, a chapter is devoted to extending S with compiled code written in C, Fortran, or C++. Since S is an interpreted language, using compiled code can increase the speed of newly created functions. This is highly technical, however, and not for the neophyte.

Potential software developers of vertical-market applications involving S-PLUS, among others, will benefit from purchasing "S Programming" by Venables & Ripley.S Programming OverviewS is a high-level language for manipulating, analysing and displayingdata. It forms the basis of two highly acclaimed and widely used dataanalysis software systems, the commercial S-PLUS and the OpenSource R. This book provides an in-depth guide to writing software inthe S language under either or both of those systems. It is intendedfor readers who have some acquaintance with the S language and want toknow how to use it more effectively, for example to build re-usabletools for streamlining routine data analysis or to implement newstatistical methods.One of the outstanding strengths of the S language is the ease withwhich it can be extended by users. S is a functional language, andfunctions written by users are first-class objects treated in the sameway as functions provided by the system. S code is eminently readableand so a good way to document precisely what algorithms were used, andas much of the implementations are themselves written in S, they can bestudied as models and to understand their subtleties. The currentimplementations also provide easy ways for S functions to callcompiled code written in C, Fortran and similar languages; this isdocumented here in depth.Increasingly S is being used for statistical or graphical analysiswithin larger software systems or for whole vertical-marketapplications. The interface facilities are most developed onWindows and these are covered with worked examples.The authors have written the widely used Modern Applied Statisticswith S-PLUS, now in its third edition, and several software librariesthat enhance S-PLUS and R; these and the examples used in both booksare available on the Internet.Dr. W.N. Venables is a senior Statistician with the CSIRO/CMISEnvironmetrics Project in Australia, having been at the Department ofStatistics, University of Adelaide for many years previously.Professor B.D. Ripley holds the Chair of Applied Statistics at theUniversity of Oxford, and is the author of four other books on spatialstatistics, simulation, pattern recognition and neural networks. Bothauthors are known and respected throughout the international S and Rcommunities, for their books, workshops, short courses, freelyavailable software and through their extensive contributions to theS-news and R mailing lists.

Want to learn more information about S Programming?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies Review

Average Reviews:

(More customer reviews)Are you looking to buy Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies? Here is the right place to find the great deals. we can offer discounts of up to 90% on Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies ReviewQuite introductory material, good for beginners (students as well as teachers planning a course) and strong in showing the links between critical discourse analysis and corpus linguistics.Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies OverviewIntroducing Electronic Text Analysis is a practical and much needed introduction to corpora-bodies of linguistic data. Written specifically for students studying this topic for the first time, the book begins with a discussion of the underlying principles of electronic text analysis. It then examines how these corpora enhance our understanding of literary and non-literary works. In the first section the author introduces the concepts of concordance and lexical frequency, concepts whichare then applied to a range of areas of language study. Key areas examined are the use of on-line corpora to complement traditional stylistic analysis, and the ways in which methods such as concordance and frequency counts can reveal a particular ideology within a text. Presenting an accessible and thorough understanding of the underlying principles of electronic text analysis, the book contains abundant illustrative examples and a glossary with definitions of main concepts. Itwill also besupported by a companion website with links to on-line corpora so that students can apply their knowledge to further study. The accompanying website to this book can be found at http://www.routledge.com/textbooks/0415320216

Want to learn more information about Introducing Electronic Text Analysis: A Practical Guide for Language and Literary Studies?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) Review

Average Reviews:

(More customer reviews)Are you looking to buy From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library)? Here is the right place to find the great deals. we can offer discounts of up to 90% on From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) ReviewIt is easy to read with lots of examples. Gives planty of ideas if you are interested in corpus study.From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library) OverviewFrom Corpus to Classroom summarises and makes accessible recent work in corpus research, focusing particularly on spoken data. It is based on analysis of corpora such as CANCODE and Cambridge International Corpus, and written with particular reference to the development of corpus-informed pedagogy.The book explains how corpora can be designed and used, and focuses on what they tell us about language teaching. It examines the relevance of corpora to materials writers, course designers and language teachers and considers the needs of the learner in relation to authentic data. It shows how the answers to key questions such as 'Is there a basic, everyday vocabulary for English?', 'How should idioms be taught?' and 'What are the most common spoken language chunks?' are best explored by means of a clearer understanding of the workings of language in context.

Want to learn more information about From Corpus to Classroom: Language Use and Language Teaching (Cambridge Language Teaching Library)?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...