similar to: The OutliersO3 package is now on CRAN

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

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

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

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

Dear all, GmooG, ChessGmooG, FilmsGmooG, ComradesM are dataset packages accompanying my book ?Getting (more out of) Graphics? (CRC Press 2024). They are now available on CRAN. R code producing the graphics in the book will be put online in a few weeks. Regards Antony Professor Antony Unwin Mathematics Institute, University of Augsburg, 86135 Augsburg, Germany [[alternative HTML version

Dear all, GmooG, ChessGmooG, FilmsGmooG, ComradesM are dataset packages accompanying my book ?Getting (more out of) Graphics? (CRC Press 2024). They are now available on CRAN. R code producing the graphics in the book will be put online in a few weeks. Regards Antony Professor Antony Unwin Mathematics Institute, University of Augsburg, 86135 Augsburg, Germany [[alternative HTML version

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

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 -

Since 2008, Microsoft 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 March: The "reticulate" package provides an interface between R and

I have been experimenting with interactive packages such iplots and playwith. Consider the following sample dataset: A B C D 1 5 5 9 3 2 8 4 1 7 3 0 7 2 2 6 Let's say I make a plot of variable A. I would like to be able to click on a data point (e.g. 3) and have a pop-up window tell me the corresponding value for variable D (e.g. 4). I am also trying to produce multiple

Hi, is there a way to take a data frame with 100+ columns and large data set to do efficient exploratory analysis in R with pairs? I find using pairs on the whole matrix is slow and the resulting matrix is tiny. Also the variable of interest for me is a binary var Y or N . Is there an efficient way to graphically view many variable relationships that does not look teeny ? I could do

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

Hello, I need to analyse a data matrix with dimensions of 30x100. Before analysing the data there is, however, a need to remove outliers from the data. I read quite a lot about outlier removal already and I think the most common technique for that seems to be Principal Component Analysis (PCA). However, I think that these technqiue is quite subjective. When is an outlier an outlier? I uploaded

Hi, I have been using the lqs function with method='lms'. However the results I get are a little different from the results noted by Rousseeuw & Leroy (Robust Regression and Outlier Detection) and I was wondering how to use these results for outlier detection. I'm using the stackloss dataset, for which the original Rousseeuw et al. program points out that observations 1,2,3,4

We are happy to announce that the second R user conference useR! 2006 is scheduled for June 15-17 2006 and will take place at the Vienna University of Economics and Business Administration. This second world-meeting of the R user community will focus on - R as the `lingua franca' of data analysis and statistical computing, - providing a platform for R users to

We are happy to announce that the second R user conference useR! 2006 is scheduled for June 15-17 2006 and will take place at the Vienna University of Economics and Business Administration. This second world-meeting of the R user community will focus on - R as the `lingua franca' of data analysis and statistical computing, - providing a platform for R users to

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.

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