Greg, thank you for the nice overview, which is very helpful. Today I tested the HTML-Tool (Hmisc-library). First I had to install the HeVea translater (it´s a little bit tricky). I could produce a little html-table (it made me happy).
I will be out of office until monday - it would be nice to continue our communication next week. Thanks to you and all list members! Udo Zitat von Greg Snow <[EMAIL PROTECTED]>: > There are several options available to you depending on your knowledge and > workflow. > > Others have mentioned using Excel to format the table and to copy that into > word, one thing along those lines that has not been mentioned yet is that if > you have your data in a matrix or data frame then (on windows at least, I > have not tried on other platforms) you can type: > > > write.table(my.data, 'clipboard', sep="\t") > > Then in Excel just do a paste and the data is there, this saves a couple of > steps from saving as a .csv file and importing that into excel. This would > probably be fine for a few tables. > > With a little effort on your part, odfWeave may still be an option. I have a > project based on a survey with quite a few questions, but the output wanted > was basically one of 3 tables and graphs based on a question or set of > questions. I wrote a set of functions that found the correct columns in the > data and created a matrix with the appropriate table values and used the > odfTable function to do the formating (and a set of functions to do the > graphs). Then I created an odf template file in OpenOffice that called the > appropriate functions for each question, ran that through odfWeave, opened > the result in OpenOffice and saved it as a word file to send to the clients. > Another nice thing about this approach is that occasionally I get requests > for the same output on a subset of the data, I just create the subset, rerun > odfWeave, convert to word and I'm done (I don't let the client know that it > was that easy though). I think there is something in the works to allow > conversion of odf files to ms word files from a command line. > > You can also use the existing LaTeX tools that others have suggested, then > convert from latex to HTML or RTF or another format that can be read into > word. If you take this approach wich will require a few intermediate steps > between R and word, then you may want to learn the make utility (there are > versions of make available on windows, otherwise I don't know how I would > survive trapped in an MS workplace). Make helps with automating several step > processes and updating only those parts that need to be updated. > > If you can give some more detail on what you want to do and how you want the > output to look, then we can give more specific ideas on how to get there. > > Hope this helps, > > -- > Gregory (Greg) L. Snow Ph.D. > Statistical Data Center > Intermountain Healthcare > [EMAIL PROTECTED] > (801) 408-8111 > > > > > -----Original Message----- > > From: Udo König [mailto:[EMAIL PROTECTED] > > Sent: Sunday, February 17, 2008 11:08 AM > > To: r-help@r-project.org > > Cc: Greg Snow > > Subject: RE: [R] Transfer Crosstable to Word-Document > > > > Zitat von Greg Snow <[EMAIL PROTECTED]>: > > > > > If your final goal is a word document, then you should look at the > > > odfWeave package. > > > > Greg, > > I had a look at the odfWeave package, but it seems that > > complex tables, for instance produced with latex(....) can´t > > be produced/included, as can be done with sweave. > > > > > > -------------------------------------------- > > Udo König > > Clinic for Child an Adolescent Psychiatry Philipps University > > of Marburg / Germany > > > > ---------------------------------------------------------------- > > This message was sent using IMP, the Internet Messaging Program. > > > > > > -------------------------------------------- Udo König Clinic for Child an Adolescent Psychiatry Philipps University of Marburg / Germany ______________________________________________ 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.