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R has spread far and wide with great success. It is not only used extensively in universities, but also apparently in governmental organisations and in industry. As the recent discussion of R's Pros and Cons shows, there are many reasons for this. It would be interesting to know just how widely R is used, where it is used most (and where least or not at all). Does anyone have a

Dear all, The new package OutliersO3 is now available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html>. The aim is to graphically compare results of outlier analyses for all possible combinations of variables in a dataset. Various kinds of O3 (Overview of Outliers) plots can be drawn to show which cases are classified as outliers for which combinations of

Dear all, The new package OutliersO3 is now available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html>. The aim is to graphically compare results of outlier analyses for all possible combinations of variables in a dataset. Various kinds of O3 (Overview of Outliers) plots can be drawn to show which cases are classified as outliers for which combinations of

This email isn't asking for assistance, but I thought R-help readers would find it interesting. This week we offered a half-day introduction to R for researchers at Augsburg University. The response was astonishing. Although Augsburg has no medical faculty and no engineers, there was far too much demand, with interest from every faculty (barring theology, "for one small

Hello Tal, You asked *When is it helpful to use interactive plots? Either for data exploration (for ourselves) and data presentation (for a "client")?* My answer: It's helpful for checking data quality, for exploration with and without "clients", for checking results, and for data presenting. Notes: (1) It's difficult to explain interactive data visualization in

Dear all, A revised version of OutliersO3 is available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html <https://cran.r-project.org/web/packages/OutliersO3/index.html>>. The package has been restructured. The default is now that the tolerance level is set individually for each of the (six) outlier methods included. Plots have been added, as have outlier

statistics.com offers "Spatial Analysis Techniques in R" with David Unwin on Dec. 17 - Jan. 22 This course will teach users how to implement spatial statistical analysis procedures using R software. Topics covered include point pattern analysis, identifying clusters, measures of spatial association, geographically weighted regression and surface procession. Dr. David Unwin is Emeritus

DSC 2001 International Workshop on Distributed Statistical Computing http://www.ci.tuwien.ac.at/Conferences/DSC-2001/ March 15--17, 2001 Vienna, Austria The second international workshop on `Distributed Statistical Computing' (DSC 2001) will take place at the Technische Universität Wien in Vienna, Austria from 2001-03-15 to 2001-03-17. This workshop will deal with future directions in

Ah, but the interesting thing is that they are coming out with a 'clam' version like the 5MX. Details are limited at the moment, but that could mean the combination of 5MX usability with a supported linux distro. I am drooling in anticipation. Sounds like a "I've finally finished my PhD and deserve a treat" situation to me :) Dave On Thu, Mar 06, 2003 at 09:17:20AM

There have been several constructive responses to John Sorkin's comment, but none of them are fully satisfactory. Of course, if you know the name of the function you are looking for, there are lots of ways to search — provided that everyone calls the function by a name that matches your search. If you think there might be a function, but you don't know the name, then you have

I require some assistance with JGR, but following the mailing list link from http://jgr.markushelbig.org/FAQ.html leads me to http://mailman.rz.uni-augsburg.de/mailman/listinfo/stats-rosuda-devel which responds with No such list stats-rosuda-devel I was previously subscribed to this mailing list and want to resubscribe, but where has it gone? Many thanks, Oliver Mannion Programmer COMPASS -

Hi again Sam, Sorry for not replying sooner. I have been ignoring everything for a while to work on the AMMP analysis tool and the continuing saga of migrating the legacy AMMP data. Our consultant has written some programs that take a VERY long time to run :( Anyway, I now know Java and a certain amount of JSP. I hope to be able to get around to this soon. It is all a bit hard now with our

Hi, i'm using Perl to control R under Windows via the Win32::OLE module and R's (D)COM server. This works fine, if i send commands and/or simple data structures to R. I am also able to get matrix-shaped return values into my Perl program, like this # snip ---------------------------------------------------- my $R = Win32::OLE->new('StatConnectorSrv.StatConnector');

In Mac OS X native version: The R shell wrapper (bin/R) overrides default library search path with DYLD_LIBRARY_PATH and adds (among others) /usr/X11R6/lib. This causes problems when modules need (directly or indirectly) libraries from Apple's frameworks which are masked by X11. Examples for such packages are SJava and RGL. SJava needs JavaVM which in turn loads OpenGL framework. RGL

I'm trying to cross-compile R on a Mac OS X box to target Win32. It works quite well, everything works, except for one fortran file ppr.f in the stats package: ---------- Making package stats ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata making DLL ... i386-mingw32-g77 -O2 -Wall -c ppr.f -o ppr.o ppr.f:803: sorry, unimplemented: data

I'm trying to cross-compile R on a Mac OS X box to target Win32. It works quite well, everything works, except for one fortran file ppr.f in the stats package: ---------- Making package stats ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata making DLL ... i386-mingw32-g77 -O2 -Wall -c ppr.f -o ppr.o ppr.f:803: sorry, unimplemented: data

I just wrote a graphics device taking the X11 device in R-devel as a guide (I was told it's the reference device). It works perfectly with R-devel, but I just noticed that the API (e.g. the use of R_GE_gcontext) is incompatible with previous versions of R. Is the current API in R-devel set in stone or are there any further plans to change the API? (If so, how far?) Also, is there any

I need to implement some external callbacks to R and I'm not happy with the current REPL, since it prevents any general solution. Are there plans to improve the current REPL anytime soon? The current approach has some deficiencies you are surely aware of (only one input (=external event loop), the loop is blocked while waiting for input in R_ReadConsole, ...). But the major problem is

A while ago I compiled R 1.7.0 for AIX (with the above compiler - I'll call it xlc) and I was surprised that it went quite smoothly. Unfortunately with R 1.8.0 it's not as easy, but I succeeded at least partially. Static R works fine (after some tweaking), but --enable-R-shlib fails resp. produces a buggy R. Following are the problems I encountered (in a warning-to-fatal-error

I encountered several strange issues when linking to R.dll on Windows and I wonder if anyone of the Windows savvy-folks here had seen some of the issues before and have some explanation. My Rserve links to R dynamic library. That works perfectly on unix boxes and worked fairly well with older MinGW and older R (<=1.7.1). What I do in fact is that I specify -L$(R_HOME)/bin -lR when linking.