similar to: Catching R's (D)COM output in perl

Hello! I just started experimenting with the (D)COM automation server for R (server version 0.99, R 1.3.0, Win NT) All the precompiled sample executables work. When I write programms myself, in this case Visual Basic for Applications within Excel, I can attach a graphics device but not a character device. The controls I added to the form by means of the 'toolbox' both originate from

Dear list members, When I modify the MFC sample (using the statconnector graphics device) to show a lattice graph in the Active X control (actually the wireframe from http://addictedtor.free.fr/graphiques/graphcode.php?graph=40 ) the program runs without generating any errors, but the data-driven part of the plot does not display. The bounding box is displayed, but not the axes or data within

Hello, I am a newbie in R project and trying to call prcomp(x) of R function using (D)COM server communicate with R in ASP, and encountering the error "Runtime error -2147221493(8004000b). Automation Error, Object is static, operation not allowed." Source code is shown as below: <% Set StatConn=Server.CreateObject("StatConnectorSrv.StatConnector")

Hello, I am a newbie in R project and trying to call prcomp(x) of R function using (D)COM server communicate with R in ASP, and encountering the error "Runtime error -2147221493(8004000b). Automation Error, Object is static, operation not allowed." at line Result=StatConn.Evaluate("y<-prcomp(x)"). E ven I have added the line StatConn.EvaluateNoReturn("library

hi there i tried to use R from python my pc is an intel 1600 with win98; python is python 2.2; R is rw1062, and R (D)COM Server V1.2 when i use the sample code provided in the readme.html, no problem, but when i try to read a file, a get a traceback error (please see code enclosed) has anyone ever tried to read file using python, or send commands from libraries (MASS...) ? is there a

Hello,Everybody, Now I am using R (D)COM Server from Python to manipulate some data. When I try to use "read.table" function to read some data, an error occurred. However these statements work well when they are input to R directly. It is so odd. The Python scripts are as the following, from win32com.client import Dispatch sc=Dispatch("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

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

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

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

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

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, 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

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

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

After the recent discussion about future direction of the Mac OS X port, I was toying with the idea to make R a proper Mac OS X framework. There are several advantages: OS X locates frameworks automatically, therefore any program wishing to link against R has only to specify "-framework R" at link time. Furthermore versioning is supported, i.e. if a program is linked against R 1.7.1