search for: textbooks

Dear R experts, I would like to explore if and to what extent bootstrapping and permutation statistics can help me for my research (functional brain imaging). I am looking for an introductory textbook, rather legible. I have statistical knowledge, but I am definitely no statistical or mathematical guru. Do you have suggestions for a useful textbook? Thanks a lot, Peter

Hello I was hoping to get some advice regarding teaching R in an academic environment. What are the best choices with respect to textbooks? When this question was asked a few years back, people were primarily recommending ?Modern Applied Statistics with S? and ?Introductory Statistics with R? as two good choices. I?ve also heard some good thinks regarding ?An R Companion to Applied Regression?. Has anything else really good come al...

I would like to buy a basic statistics book (experimental design, sampling, ANOVA, regression, etc.) with examples in R. Or download it in PDF or html format. I went to the CRAN contributed documentation, but there were only R textbooks, that is, textbooks where R is the focus, not the statistics. And I would like to find the opposite. Other text I am trying to find is multivariate data analysis (EFA, cluster, mult regression, MANOVA, etc.) with examples with R. Any recommendation? Thank you in advance, Iuri.

...books and pdf tutorials mention that they are not really meant as a standalone statistics text book, but in addition to a traditional stats textbook (Verzani mentions Kitchen's book specifically). So I guess what I'm looking for is any other recommendations on intro or intermediate textbooks that deal primarily with the math/theory behind the processes. If they were oriented towards R that's be great, but otherwise I guess I'd be most interested in something relatively platform-agnostic - I've seen some books that were slanted heavily towards a particular softwar...

Hello, I am working on a small booklet to be used with an existing statistics textbook. The purpose of the booklet is to give worked through examples from the textbook using R code and it will be made publicly available with the textbook. The title of the booklet is "R Code Supplement for Basic Engineering Data Collection and Analysis by Vardeman and Jobe". Someone with whom I'm

R-helpers: I'm sure this question has been asked and answered through the ages, but given there are some new textbooks out there, I wanted to re-pose it. For a course that will cover the application of R for general computing and spatial modeling, what textbook would be best to introduce computing with R to *undergrads*? I understand Bivand and Pebesma's book is fine for spatial work, but it appears to be for...

I'll be teaching a graduate course on (the analysis of) experimental designs next year, using R. Does anyone know of a suitable textbook? (Venables and Ripley MASS Ch6 on Linear Models covers roughly the right material, but at a level that is way too difficult for my students.) Sorry if this has been asked before. I've looked through the archives and found Julian Faraway's book, but

Dear Lists, I got the chance to review Bob Muenchen's book - R for SAS and SPSS users. While my detailed review is online at www.decisionstats.com, the book is a welcome addition in R Textbooks for beginners and an especially nice one for people who have experience in SAS and /or SPSS languages. AT 50 USD, it's reasonably priced for all geographies (;) , and quite handy as a refernce book for three languages. Regards, Ajay http://www.decisionstats.com/?p=653 REVIEW Introduction-...

Hi, I know this is a little bit offtopic on this list. But I can't find a more appropriate forum that I can ask. If there is a high quality forum on statistics textbook discussion, please let me know. I am reading Applied Linear Statistical Models. One drawback that I feel about this book is that it discuss many examples, which is to distracting. Numbers are give in those examples. Comments

Hi All, I'm preparing to co-teach a class on applied MCMC using R as the computational engine in the spring. As a consequence, I'm starting to look at MCMC textbooks. Please send along your recommendations! I will collate the responses and post a summary, so please reply to me directly. Thanks, -G

Could somebody recommend some good nonparametric statistical inference textbooks for a beginner? And what are pros and cons of each book? Nonparametric statistical methods by Hollander seems to be more difficult for a beginner, but is great as a reference, right? Are there any books that are easier to learn than Hollander's? Also, I see some books in the wiki page. I don&...

Monte, For a list of online sources that may be useful, go to http://www.uvm.edu/~dhowell/methods/Websites/Archives.html and check out some of the material referenced there. Clay Helberg's site is particularly helpful. Unfortunately it is virtually impossible to keep links current, so some are likely to be dead--although you can often find them via Google. Dave Howell -- David C. Howell

https://www.r-project.org/logo/ Cheers, Bert On Wed, Jul 26, 2023 at 4:01?PM Wadsworth, Spencer G [STAT] <sgw96 at iastate.edu> wrote: > > Hello, > > I am working on a small booklet to be used with an existing statistics textbook. The purpose of the booklet is to give worked through examples from the textbook using R code and it will be made publicly available with the

Hi everyone, Here's how I solved a problem for my stats class. I'm pretty sure I understand what's going on, but I wonder if there's a more direct way to solve it. Problem summary: A recent poll indicated that Candidate A is leading B with 55% of the vote. How many voters need to be surveyed to ensure a margin of error of +/- 2.5% with 99% confidence. Here's what I did:

...Could you please suggest the best way to become an "advanced" R programmer. I went through "R for dummies" by de Vries and Meys and I can see two ways to proceed: 1) Get a more advanced textbook. E.g. could you recommend Gentleman, "R for Bioinformatics"? 2) Because textbooks are limited and become obsolete fast, I can focus on learning state-of-the-art packages, but for that I need to find a list of most useful general purpose packages (foreach, doParallel, etc) that is updated in real time. Does such list exist? Your recommendations are very welcome. Thanks, Nik

>>>>> Bert Gunter >>>>> on Wed, 26 Jul 2023 16:05:32 -0700 writes: > https://www.r-project.org/logo/ > Cheers, Bert Well, I tend to disagree. He did not say he'd want to use the R logo and there is really nobody saying that "you should". Using the letter 'R' as are regular word (noun) in a title is perfectly fine. Martin

Hi everyone! I've recently begun to learn R for my job as the IT department suffers from lack of funding for new software. I was talking to the guy in charge of Requisitions and have found out the budget for books is in great shape. So, I'm curious what books people know of that have R examples and are good for: 1.) Uni and Multivariate Time Series Analysis/Forecasting 2.) GLMs (at

I need to refresh my memory on Probability Theory, especially on conditional probability. In particular, I want to solve the following two problems. Can somebody point me some good books on Probability Theory? Thank you! 1. Z=X+Y, where X and Y are independent random variables and their distributions are known. Now, I want to compute E(X | Z = z). 2.Suppose that I have $I \times J$ random number

I'm wondering if there is a textbook that summarize the methods on adjusting p-values for multiple comparisons. Most of the references on p.adjust() are over 10 years old. I feel it would be better if somebody could recommend me a textbook on multiple hypothesis correction, so that I can quickly get a general idea of different methods.

...gning the statistical framework. I have looked through the books at: http://www.r-project.org/doc/bib/R-books.html I even tried to read [17] Julian J. Faraway. Linear Models with R. This book is too advanced. It helped a little bit but I still feel lost. Can somebody recommend a textbook or textbooks suitable for a self-study stats course? Brief bio: I have 20 years background in software development. I know lots of computer languages including C++ and Perl. The computer language aspects of R seems fairly simple. I did some calculus in college but not more than 1-2 courses. I have a basic...