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Dear R users, Biostatistics Denmark would like to annouce the availability of the new utility: sas2R --- a SAS to R parser. For almost 40 years SAS has been the primary tool for statisticians worldwide and its easy-to-learn syntax, unsurpassed graphical system, powerful macro language and recent graphical user interfaces have made SAS the number one statistical software choice for both beginners and advanced users. We find it unnecessary for users to learn yet another statistical software package and have decided to make SAS available t...

...e, as it is a major detriment to having enjoyable, good-quality VoIP conversations and doesn't seem like it would be the "standard" for such conversations. Perhaps I shouldn't be using uLaw, but this really bugs me because I do have the bandwith to use uLaw, and its quality is unsurpassed. Could this be an insufficient RAM problem with my * server? As I have 128 megs of RAM on my PII, about 122 megs of it are constantly in use, and the CPU is, for the most part, pretty idle during single conversations. I'm not sure about incoming calls when music, etc., is played, but I'...

Dear Researchers, I am looking for to read a SAS macro in R. Although I searched it on web, I couldn’t find anything. Can you help me or direct me? Thank you for your interest and patience. Best. Ozgur [[alternative HTML version deleted]]

Hello all, I write a decision-support column for a computing magazine, Intelligent Enterprise. In my next column, I'll be revisiting a topic I wrote on 3 years ago, open-source analytical software. R is perhaps the most successful open-source analytical package. I'd like to hear from users, especially those who chose R for some other reason than that it's free, about what

...es: > On Sun, Jun 06, 2004 at 01:32:00PM -0700, Spencer Graves wrote: > > I agree: It sounds like a bug, as you said, Irk, in that > > That brilliant :) Many people, in Germany as well as abroad, managed to > chop Eddelbuettel quite well. Turning Dirk into Irk is rather unsurpassed. > > Dirk, with a big grin Not to say "smirk", Dirk. (Did Spencer's quirk irk Dirk?) ;-) -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327...

Hi, Ady wrote: > So, someone could assert the following reasoning steps: > 1_ We can workaround the Sector Count limitation of 32MiB for > no-emulation methods. If the EFI firmware programmers obey version 2.4, yes. > 2_ The ESP is considered a no-emulation method. >From the view of UEFI 2.4 it is a partition. Partitions may be marked by MBR partition table or by GPT on hard

> Hi, > > Ady wrote: > > Is this "32MiB" a limitation related to the UEFI specs in any way? Or > > is it relevant for BIOS (non-EFI) too? > > It comes from El Torito specs which are referred to by UEFI 2.4 > specs. In EL Torito 1.0, Figures 3 and 5, "Sector Count" is a 2-byte > "Word". So it can count up to 65535. > Sector count

It has long been a nuisance to me not being able to form margins on multiway tables in a simple fashion, so i wrote margins(). In my opinion it should go into the base package. The code and the documentation is in: http://www.biostat.ku.dk/~bxc/R/margins/ Please help yourself, and enhance and rename as you see fit. Bendix ---------------------- Bendix Carstensen Senior Statistician Steno

...sis and Data Coding with Java and R Fionn Murtagh, Royal Holloway University of London, UK This book introduces the theory, methods, and applications of correspondence analysis. With an emphasis on data coding, it clearly demonstrates why this technique remains important and in the eyes of many, unsurpassed as an analysis framework. The author provides a theoretical overview and software in Java and R for correspondence analysis, clustering, and interpretation tools. A full chapter of case studies explores a range of applications to time-evolving data and in areas such as financial modeling, shape ana...

..., Royal Holloway University of London, UK Publication Date: 5/26/2005 Number of Pages: 256 This book introduces the theory, methods, and applications of correspondence analysis. With an emphasis on data coding, it clearly demonstrates why this technique remains important and in the eyes of many, unsurpassed as an analysis framework. The author provides a theoretical overview and software in Java and R for correspondence analysis, clustering, and interpretation tools. A full chapter of case studies explores a range of applications to time-evolving data and in areas such as financial modeling, shape ana...