On Fri, Feb 18, 2011 at 8:00 PM, Tom Hopper <tomhop...@gmail.com> wrote: > Tal, > > One interactive capability that I have repeatedly wished for (but > never taken the time to develop with the existing R tools) is the > ability to interactively zoom in on and out of a data set, > I believe that you can do this with playwith. See this [1]. Regards Liviu
[1] http://code.google.com/p/playwith/wiki/Screenshots#Time_series_plot_(Lattice) and to > interactively create "call-outs of sections of the data. Much of the > data that I deal with takes the form of time series where both the > full data and small section carry meaningful information. > > Some of the capabilities of Deducer approach interactive graphing, > such as adjusting alpha values or smoothers, though the updates don't > happen in quite real-time. > > - Tom > > On Friday, February 11, 2011, Tal Galili <tal.gal...@gmail.com> wrote: >> Hello all, >> >> Before getting to my question, I would like to apologize for asking this >> question here. My question is not directly an R question, however, I still >> find the topic relevant to R community of users - especially due to only * >> partial* (current) support for interactive data visualization (see here: >> http://cran.r-project.org/web/views/Graphics.html were with iplots we are >> waiting for iplots extreme, and with rggobi, it currently can not run with R >> 2.12 and windows 7 OS). >> >> And now for my question: >> >> While preparing for a talk I will give soon, I recently started digging into >> two major (Free) tools for interactive data visualization: >> GGobi<http://www.ggobi.org/> >> and mondrian <http://rosuda.org/mondrian/> - both offer a great range of >> capabilities (even if they're a bit buggy). >> >> I wish to ask for your help in articulating (both to myself, and for my >> future audience) *When is it helpful to use interactive plots? Either for >> data exploration (for ourselves) and data presentation (for a "client")?* >> >> For when explaining the data to a client, I can see the value of animation >> for: >> >> - Using "identify/linking/brushing" for seeing which data point in the >> graph is what. >> - Presenting a sensitivity analysis of the data (e.g: "if we remove this >> point, here is what we will get) >> - Showing the effect of different groups in the data (e.g: "let's look at >> our graphs for males and now for the females") >> - Showing the effect of time (or age, or in general, offering another >> dimension to the presentation) >> >> For when exploring the data ourselves, I can see the value of >> identify/linking/brushing when exploring an outlier in a dataset we are >> working on. >> >> But other then these two examples, I am not sure what other practical use >> these techniques offer. Especially for our own data exploration! >> >> It could be argued that the interactive part is good for exploring (For >> example) a different behavior of different groups/clusters in the data. But >> when (in practice) I approached such situation, what I tended to do was to >> run the relevant statistical procedures (and post-hoc tests) - and what I >> found to be significant I would then plot with colors clearly dividing the >> data to the relevant groups. From what I've seen, this is a safer approach >> then "wondering around" the data (which could easily lead to data dredging >> (were the scope of the multiple comparison needed for correction is not even >> clear). >> >> I'd be very happy to read your experience/thoughts on this matter. >> >> >> Thanks in advance, >> Tal >> >> >> ----------------Contact >> Details:------------------------------------------------------- >> Contact me: tal.gal...@gmail.com | 972-52-7275845 >> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | >> www.r-statistics.com (English) >> ---------------------------------------------------------------------------------------------- >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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. >> > > ______________________________________________ > 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. > -- Do you know how to read? http://www.alienetworks.com/srtest.cfm http://goodies.xfce.org/projects/applications/xfce4-dict#speed-reader Do you know how to write? http://garbl.home.comcast.net/~garbl/stylemanual/e.htm#e-mail ______________________________________________ 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.
