Dream of a wiki GUI for R
Hello, Just to add to what Ajay said: the http://wiki.r-project.org does not execute R code from within wiki pages. This is a choice for security reasons. However, there are ways to get R code from R wiki pages and run it in R: http://wiki.r-project.org/rwiki/doku.php?id=tips:misc:wikicode Also, there is a discussion about integrating Sweave in wiki pages: http://wiki.r-project.org/rwiki/doku.php?id=developers:latex2wiki. If someone would like to start a "teaching stats with R" topic on the R wiki and organize a section for this, he is more than welcome to make a proposal (send it to me). Best, Philippe Grosjean ..............................................<?}))><........ ) ) ) ) ) ( ( ( ( ( Prof. Philippe Grosjean ) ) ) ) ) ( ( ( ( ( Numerical Ecology of Aquatic Systems ) ) ) ) ) Mons-Hainaut University, Belgium ( ( ( ( ( ..............................................................
Ajay ohri wrote:
Hi Tobias, It makes sense from a practical view point. SAS Institute funds its own wiki at www.sascommunity.org The catch is they have editorial influence and can use offerings there for commercial purposes. The surprising thing is you can actually create a wiki in wikipedia itself. Just adopt a convention lets say Rproj for beginning of each wiki page. Note this would mean volunteers parsing the back and forth of messages into structure ( maybe it exists already) However wikis are a bit outdated. The latest is knol.google.com as it gives you the right to make document editable, or allow comments, or even what kind of license you want content to be shared. The catch again is its owned by Google , the big company. Other options from Google include Google Docs as well as Google Sites.You can even create bulk Google Docs from a writely email that your docs.google.com account gives you, and just last week someone created a Google Docs plugin for sending R output directly to the Docs. As you may have noticed and I have pointed out once the R -project website itself is badly outdated compared to the software itself. The official R wiki of course is here http://wiki.r-project.org/rwiki/doku.php So these are the options - noting that email groups are more easy to use and addictive , though not the best for collobrative knowledge storage over a period of time. Regards, Ajay www.decisionstats.com On Sun, Sep 28, 2008 at 3:19 PM, Tobias Verbeke <tobias.verbeke at gmail.com>wrote:
Hi, I am just writing a draft to introduce confidence intervals of various
"effect sizes" to my students. Surely, I'll recommend the package MBESS in R. Currently, it means I have to recommend R's interface at first. As a statistics teacher in a dept of psychology, I often have to reply why not to teach SPSS. Psychologists and their students hate to memorize codes, or even to call any function with a list of parameters. I know if I have an online R platform with a wiki html-form design, I can bypass the function calls and headache parameters to expose the power of R. Rcmdr and its plugins help some, but students like to remember just one menu structure in the SPSS textbook. A wiki interface means they can search and find a complete example in psychology, with self-explained parameter inputs and outputs. Do I actually dream a wikipedia with front forms and back R? Most R fans are wiki fans, but not vice verse. So, I think I should talk my dream here rather than at wikipedia. If you know it had been a practice rather than an idea, please tell me where to write my teaching interface.
Some have had similar dreams: http://ideas.repec.org/p/hum/wpaper/sfb649dp2008-030.html http://www.r-project.org/user-2006/Slides/Klinke.pdf http://www.r-project.org/user-2006/Abstracts/Klinke+Schmerbach+Troitschanskaia.pdf HTH, Tobias LI, Xiaoxu
School of Arts and Social Sciences, Shenzhen Graduate School, Peking Univ.(Shenzhen Campus) China
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______________________________________________ R-help at 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<http://www.r-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.