similar to: R outside of universities

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, 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

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

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 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

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

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, I find that a typical workflow for me looks something like this: 1) import some data from files 2) mess around with the data for a while 3) mess around with plotting for a while 4) get a plot or analysis that looks good 5) go back through my history to make a list of the shortest command sequence to recreate the plot or analysis 6) send out that sequence to colleagues, along with the

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

I have code like this: - #----------------------------------------------------------------------- ------------------------------------------------------ x=scan() 0 0 0 0 0 1 2 3 4 y=scan() 1 1 1 2 2 1 3 4 5 plot(x,y) identify(0,1,3) #Allows me to select manually to identify co-ordinate (0,1) as being duplicated 3 times identify(0,2,2) #Allows me to select manually to identify co-ordinate

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

Folks, I'm trying to add a network interface card to my SUSE 9.3 box, and I'm not having much luck with a US Robotics version. What manufacturer do any of you use in your machines--either 10/100MB or GigE NIC? Thanks Eric Hines There is no nonsense so errant that it cannot be made the creed of the vast majority by adequate governmental action. --Bertrand Russell

Hello all, I'm trying to graph a scatterplot of a large (5,000 x,y coordinates) of data with the caveat that many of the data points overlap with each other (share the same x AND y coordinates). In using the usual "plot" command, > plot(education, xlab="etc", ylab="etc") it seems that the overlap of points is not shown in the graph. Namely, there are

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 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

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