similar to: Re. When is *interactive* data visualization useful to use?

I have been experimenting with interactive packages such iplots and playwith. Consider the following sample dataset: A B C D 1 5 5 9 3 2 8 4 1 7 3 0 7 2 2 6 Let's say I make a plot of variable A. I would like to be able to click on a data point (e.g. 3) and have a pop-up window tell me the corresponding value for variable D (e.g. 4). I am also trying to produce multiple

This email isn't asking for assistance, but I thought R-help readers would find it interesting. This week we offered a half-day introduction to R for researchers at Augsburg University. The response was astonishing. Although Augsburg has no medical faculty and no engineers, there was far too much demand, with interest from every faculty (barring theology, "for one small

There have been several constructive responses to John Sorkin's comment, but none of them are fully satisfactory. Of course, if you know the name of the function you are looking for, there are lots of ways to search — provided that everyone calls the function by a name that matches your search. If you think there might be a function, but you don't know the name, then you have

I require some assistance with JGR, but following the mailing list link from http://jgr.markushelbig.org/FAQ.html leads me to http://mailman.rz.uni-augsburg.de/mailman/listinfo/stats-rosuda-devel which responds with No such list stats-rosuda-devel I was previously subscribed to this mailing list and want to resubscribe, but where has it gone? Many thanks, Oliver Mannion Programmer COMPASS -

Hi, is there a way to take a data frame with 100+ columns and large data set to do efficient exploratory analysis in R with pairs? I find using pairs on the whole matrix is slow and the resulting matrix is tiny. Also the variable of interest for me is a binary var Y or N . Is there an efficient way to graphically view many variable relationships that does not look teeny ? I could do

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

Hi, I find that a typical workflow for me looks something like this: 1) import some data from files 2) mess around with the data for a while 3) mess around with plotting for a while 4) get a plot or analysis that looks good 5) go back through my history to make a list of the shortest command sequence to recreate the plot or analysis 6) send out that sequence to colleagues, along with the

R has spread far and wide with great success. It is not only used extensively in universities, but also apparently in governmental organisations and in industry. As the recent discussion of R's Pros and Cons shows, there are many reasons for this. It would be interesting to know just how widely R is used, where it is used most (and where least or not at all). Does anyone have a

http://www.nabble.com/file/p16349649/at-length.png Hi, I produced this graph with R and I am very happy with it. But now I wonder: Is this some standard way of displaying data and if so, does it have a name? (like Histogram, Box plot etc.) I need to explain the plot to people so knowing a bit more about what exactly this is, would certainly help ;-) Thanks a lot! -- View this message in

Hello all, I'm trying to graph a scatterplot of a large (5,000 x,y coordinates) of data with the caveat that many of the data points overlap with each other (share the same x AND y coordinates). In using the usual "plot" command, > plot(education, xlab="etc", ylab="etc") it seems that the overlap of points is not shown in the graph. Namely, there are

Dear all, The new package OutliersO3 is now available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html>. The aim is to graphically compare results of outlier analyses for all possible combinations of variables in a dataset. Various kinds of O3 (Overview of Outliers) plots can be drawn to show which cases are classified as outliers for which combinations of

Dear all, The new package OutliersO3 is now available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html>. The aim is to graphically compare results of outlier analyses for all possible combinations of variables in a dataset. Various kinds of O3 (Overview of Outliers) plots can be drawn to show which cases are classified as outliers for which combinations of

I have code like this: - #----------------------------------------------------------------------- ------------------------------------------------------ x=scan() 0 0 0 0 0 1 2 3 4 y=scan() 1 1 1 2 2 1 3 4 5 plot(x,y) identify(0,1,3) #Allows me to select manually to identify co-ordinate (0,1) as being duplicated 3 times identify(0,2,2) #Allows me to select manually to identify co-ordinate

Hi All, I'm dealing with binary response data for the first time, and I'm confused about what kind of graphics I could explore in order to pick relevant predictors and their relation with response variable. I have 8-10 continuous predictors and 4-5 categorical predictors. Can anyone suggest what kind of graphics I can explore to see how predictors behave w.r.t. response variable... Any

Hello I need to plot a histogram, but insted of using bars, I'd like to plot the data points. I've been doing it like this so far: h <- hist(x, plot = F) plot(y = x$counts / sum(x$counts), x = x$breaks[2:length(x$breaks)], type = "p", log = "xy") Sometimes I want to have a look at the "raw" data (avoiding any kind of binning). When x

Dear all, A revised version of OutliersO3 is available on CRAN: <https://cran.r-project.org/web/packages/OutliersO3/index.html <https://cran.r-project.org/web/packages/OutliersO3/index.html>>. The package has been restructured. The default is now that the tolerance level is set individually for each of the (six) outlier methods included. Plots have been added, as have outlier

I've been a R-user for quite some time. The graphic on the home page looks a bit in need of polish so I applied some antialiased transformations that Peter Dalgaard has previously posted to R-help for improving graphic quality. I had to change the margins a bit, but here is what it looks like: http://www.broad.mit.edu/~finnyk/Rhome.jpg Personally, I think it looks much better. Because

Hello, I am using R-2.4.1 with Rattle() i load Rdata (ttData) which has 2columns and 66 rows When i execute Explore under GGobi for visualization i am facing the problem, ---- libggobi-0.dll not found ---libggobi-0.dll was not found.... reinstalling the application may fix the problem i try install.packages("rggobi") its been installed from CRAN however when i use it from rattle()

I am working on embedding R into some visualization research programs. Can any point me to a collection of embedded and standalone R/C/C++ examples? The documentation is to terse for me to figure out how to develop this and I am looking for some simple examples to study. Thanks and best regards, EBo --

I am working on embedding R into some visualization research programs. Can any point me to a collection of embedded and standalone R/C/C++ examples? The documentation is to terse for me to figure out how to develop this and I am looking for some simple examples to study. Thanks and best regards, EBo --