similar to: [LLVMdev] Introduction.

R 1.6.1 has been scheduled for November 1. We're makin interim beta versions available via http://cran.us.r-project.org/src/base (ftp://cran.us.r-project.org/pub/R/src/base used to work, but apparently FTP access has been disabled) The filename is R-1.6.1beta_*.tar.gz, where * is the creation date. If you want to help ensure that the final 1.6.1 works satisfactorily on *your* platform,

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Warning to everyone - Intel wants to kill all of us makin Linux become illegal and puttin their chips against it with a new architecture: TCPA / Palladium watch out http://www.cl.cam.ac.uk/~rja14/tcpa-faq.html it's not a fake... some workaround already created for our linux community to live? - --

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

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

On Aug 10, 2013, at 7:32 AM, Nuno Lopes <nunoplopes at sapo.pt> wrote: >> I like the idea of sharing code between IR and MI passes through an abstract interface. I think that later stages in the IR pipeline also need an instruction optimizer instead of a canonicalizer. >> >> An alternative approach would be to describe these transformations in a DSL instead of C++. >

>>>>> 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

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

>>> I like the idea of sharing code between IR and MI passes through an >>> abstract interface. I think that later stages in the IR pipeline also >>> need an instruction optimizer instead of a canonicalizer. >>> >>> An alternative approach would be to describe these transformations in a >>> DSL instead of C++. >> >>>

Hello, I'm looking for a textbook that can explain some of the math behind the intro-to-intermediate stuff like ANOVA, multiple regression, non- parametric tests, etc. A little background: I took an intro stats course last year and would like to further my education. Being as that was the highest (and only) stats class the local community college offers, it looks like I'm on

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.

Hello all, My name is Ashish Kumar Gahlot and I am a final year undergraduate student of Engineering College Ajmer(Rajasthan, India) majoring in Computer Science. I am interested in working on project *Integrate with Z3 SMT solver to reduce false positives *for GSOC 2018. I am having experience with SMT solvers as I play CTFs and have used z3 to solve reverse engineering problems. How can I

On Aug 11, 2013, at 4:14 AM, "Nuno Lopes" <nunoplopes at sapo.pt> wrote: >> This sounds promising. But we have some requirements that textbook rewriting systems can't handle: >> >> - Expressions are DAGs, not trees. >> - Targets can add custom rewriting rules and override standard rules. >> - Rules will have predicates. Some predicates are static

Hello, I am switching from SPSS-Windows to R-Linux. My university is very SPSS-oriented so maybe that's the cause of my problems. I am a beginner in R and my assignments are SPSS-oriented, so I hope I don't annoy anyone with my questions... Right now I've got 2 problems: -I have to evaluate discriminant functions I have calculated with lda(MASS). I can't find a measure that

Hello: 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

Hi, I wish to know it is possible to use a helper which is not inside the folder ''app/helpers'', if it is possbile, what should I do? Thanks you very much!!!! Saiho __________________________________________ Yahoo! DSL ? Something to write home about. Just $16.99/mo. or less. dsl.yahoo.com

In short: I didn't take enough stats courses in college. Now I am working on scientific research and I feel somewhat lost when it comes to designing 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

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

We just studied randomized block design analysis in my statistics class, and I'm trying to learn how to do them in R. I'm trying to duplicate a case study example from my textbook [1]: > # Case Study 13.2.1, page 778 > cd <- c(8, 11, 9, 16, 24) > dp <- c(2, 1, 12, 11, 19) > lm <- c(-2, 0, 6, 2, 11) > table <- data.frame(Block=LETTERS[1:5], "Score

Hello, As I am quitte an ignorant user of R, excuse me for any wrongfull usage of all the terms. My question relates to the statistics behind the survdiff function in the package survival. My textbook knowledge of the logrank test tells me that if I want to compare two survival curves, I have to take the sum of the factors: (O-E)^2/E of both groups, which will give me the Chisq. If I calculate

I'm wondering which textbook discussed the various contrast matrices mentioned in the help page of 'contr.helmert'. Could somebody let me know? BTW, in R version 2.9.1, there is a typo on the help page of 'contr.helmert' ('cont.helmert' should be 'contr.helmert').