The HTKIdentify (requires tcltk package) and HWIdentify (windows only) functions in the TeachingDemos package will show identifying information on a plot for the point being hovered over. Both functions are pure R code, so if they don't work for you as is you can modify the source to make whatever tweaks you may want.
On Mon, Jul 15, 2013 at 12:00 PM, Christofer Bogaso < bogaso.christo...@gmail.com> wrote: > Hello again, > > Let say I have following data-frame: > > MyData <- data.frame(Names1 = paste("XXX", 1:150), Values1 = 1:150 + 10, > Values2 = 1:150) > > Now I want to plot this data-frame with googleVis. Therefore I run > following codes: > > library(googleVis) > plot(gvisBarChart(MyData, xvar="Names1", yvar=c("Values1", "Values2"))) > > However the problem is that, hardly this plot can be read. However if I > plot a fraction of my data-frame then the underlying plot is clearly > visible: > > plot(gvisBarChart(MyData[1:15,], xvar="Names1", yvar=c("Values1", > "Values2"))) ## This is clearly visible. > > > I would really appreciate if someone gives me some pointer how I can > clearly plot my data-frame with googleVis. I understand that there are many > other plotting methods available with R like ggplot, however here I want to > use googleVis because of its strength in showing the values within the plot > area itself if you hover your mouse. > > Thanks and regards, > > [[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. > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[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.