similar to: extended R

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of June: R 3.4.1 "Single

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of March: The doSMP package, which enables parallel processing for R on multiprocessor machine, is now available on

Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R at the Revolutions blog (http://blog.revolutionanalytics.com) and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of December: Hadley Wickham's Shiny app for making

Hello, I''m a Java developer and I''m looking at Rails as a very interesting thing. I read the article http://theserverside.com/articles/article.tss?l=RailsHibernate and saw a couple of things that I didn''t like too much: 1) The N+1 problem This has been discussed in the thread (or should I say "flame"?) "Java people want to beat us". It seems

hi, i want to build a Qt front-end GUI which communicates with R, and i am not sure what i should use for the interface. There seems to be many ways: R.dll, Rinside, Rcpp, RQt, Rtools... . what is the best way? please advice. basically what i want to do is that, the Qt GUI will allow users to make selection and enter numbers, these inputs will be fed to R, already written .R files will perform

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of January: Anthony Damico created an amusing and useful flowchart for finding resources for learning R, especially

Buenas, Alguno ha probado a usar Microsfot R Open? Segun leo, se han centrado en hacer que R por defecto sea multicore (cosa que podemos hacer usando parallel, foreach...) https://mran.revolutionanalytics.com/documents/rro/multithread Home [mran.revolutionanalytics.com]<https://mran.revolutionanalytics.com/documents/rro/multithread> This site uses cookies for analytics, personalized

Revolution Analytics staff write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of January: Princeton's Germ?n Rodr?guez has published a useful "Introduction to

SAS Enterprise Miner recommendeds to standardize using X / STDEV(X) versus [X ? mean(X)] / STDEV(X) Any thoughts on this? Pros Cons Philip

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. By the way, you might have noticed that we've changed our name to Revolution Analytics from Revolution Computing. You can read about the motivation for the change, and our plans for new

> On Aug 14, 2017, at 12:22 PM, fs <mail at friedrich-schuster.de> wrote: > > Hi, and sorry for asking such an unspecific question. > > Does anybody know of statistical / data mining methods that are available in R > that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS > Enterprise Miner. I don't expect a complete list, just two or three

I write about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of January: Sponsorships from Revolution Analytics are now available for local R user groups in 2012:

Hello there, apologies for cross-posting my question is not an S/R question but there is so much knowledge concentrated in those lists that I thought someone could point me in the right direction. A few months ago I read an article in a referenced journal comparing some data mining programs, among which there was Insightful's I Miner, SAS' Entreprise Miner, SPSS' Clementine (I think)

Hi, and sorry for asking such an unspecific question. Does anybody know of statistical / data mining methods that are available in R that are not in SAS ? With SAS I mean the SAS System Version 9.4 and SAS Enterprise Miner. I don't expect a complete list, just two or three examples or hints where and what to look for. I found some older comparisons, and the R methods mentioned there

Dear R-Helpers, SAS Institute just mailed out the notice below regarding a survey of people who do data mining. To help keep the survey from becoming biased toward commercial software, I thought it would be good to post it here as well. Cheers, Bob Fourth Annual Data Miner Survey Rexer Analytics has asked statistical and data mining software vendors to forward this survey as a courtesy. (SAS is

I have recently been reading several books on data mining which contain a few data sets.  The books offer some perspective on model choices, tuning decisions, result interpretation.  Are there any good resources that can walk me through the thought process of an experienced data miner with the datasets that are included for packages such as "rpart" & "kmeans". I

Hi all, I'm working on a multinomial (or "polytomous") logistic regression using R and have made great progress using multinom() from the nnet library. My response variable has three categories, and there are two different possible predictors. I'd like to use the likelihoods of certain models (ie, saturated, fitteds, and null) to calculate Nagelkerke R-squared values for

Hello R-users, I am interested to know if there is a tool that allows us to build SAS Enterprise Miner like workflows using the R scripts. For example, let's say I have the R scripts/functions for the following tasks: 1. Data Cleaning 2. Model Building 3. Model Validation 4. Visualization I would like to drag these functions into a workflow and run them together (output of one function

Hola a todos, he encontrado una aplicación que se llama Revolution R, éste es su link: http://www.revolutionanalytics.com/why-revolution-r/benchmarks.php Presume de poder realizar procesamiento en paralelo. Me gustaría saber si eso es cierto, si merece la pena y si el procesamiento en paralelo se realiza de forma transparente al usuario o hay que programarlo. saludos, Fernando

I want to build R optimized, with either MKL, OpenBLAS or ATLAS. My OS: Fedora 22 Hardware: CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 Thread(s) per core: 2 Vendor ID: GenuineIntel Model name: Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz I am a little confused when it comes to choose a method and would like to hear your experiences. If I am right, I have 3 possibilities: -