I risk to fall far from answering your question, but this may be of interest.
On Sun, Oct 12, 2008 at 10:53 PM, cls59 <[EMAIL PROTECTED]> wrote: > Basically, I would like to start with just a plain vanilla R session running > inside a Qt widget. Any suggestions? > From the old User Manual [2] of SciViews-R [1]: "All programs developed by the SciViews team are distributed under an Open Source license (GPL 2 or above), as R itself. Our goal is to contribute in providing a high-quality GUI for this statistical system that can be freely used by everyone. SciViews-R is also programmed in an expendable way, which means any programmer may implement additional features, or even a different suite of fully-compatible companion applications. This way, we hope to encourage intercompatibility between the various R GUI projects. We wish others implementations, possibly in Tcl/Tk, Gtk, Java, Aqua, … will develop. However, we anticipate great potentials of the wxPython (wxWidgets + Python) as a powerful platform-independent solution for these companion applications. R-wxPython (http://bioinf.wehi.edu.au/folders/james/wxPython/) uses RSPython), but RPy (http://www.omegahat.org/RSPython/ (http://rpy.sourceforge.net/) is a possible, although unidirectional, alternative to write a Python/wxWidgets GUI for R. We warmly encourage any initiative in this direction and will support and help any volunteer that would like to write a platform-independent version of SciViews-R with these tools. Remember: your contributions are welcome! " The Manual may prove an interesting read for those interested in R GUI creation. So could the manual [3] for the newer SciViews-K [4]. Regards, Liviu [1] http://www.sciviews.org/SciViews-R/ [2] http://www.sciviews.org/SciViews-R/oldVersion/Manual.pdf [3] http://www.sciviews.org/SciViews-K/SciViews-K_UnitManual_0.6.zip [4] http://www.sciviews.org/SciViews-K/index.html ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.