similar to: plot.dendrogram xlim/ylim

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

A new package, *latticist*, is available now from CRAN. Latticist is a graphical user interface for exploratory visualisation. It is primarily an interface to the Lattice graphics system, but also produces displays from the vcd package for categorical data. Given a multivariate dataset (either a data frame or a table), Latticist attempts to produce useful displays based on the properties of the

A new package, *latticist*, is available now from CRAN. Latticist is a graphical user interface for exploratory visualisation. It is primarily an interface to the Lattice graphics system, but also produces displays from the vcd package for categorical data. Given a multivariate dataset (either a data frame or a table), Latticist attempts to produce useful displays based on the properties of the

playwith package version 0.8-55 is now on CRAN. It provides a GTK+ interface for interacting with R plots. Screenshots of some examples are online at: http://code.google.com/p/playwith/wiki/Screenshots Changes in Version 0.8-55 o argument `parameters`: automatically constructs widgets to control parameter values appearing in the call. o default action when dragging on the plot is zoom.

playwith package version 0.8-55 is now on CRAN. It provides a GTK+ interface for interacting with R plots. Screenshots of some examples are online at: http://code.google.com/p/playwith/wiki/Screenshots Changes in Version 0.8-55 o argument `parameters`: automatically constructs widgets to control parameter values appearing in the call. o default action when dragging on the plot is zoom.

list(...), I am working with environmental time series (eg rainfall, stream flow) that have attached quality codes for each data point. The quality codes have just a few factor levels, like "good", "suspect", "poor", "imputed". I use the quality codes in plots and summaries. They are carried through when a time series is aggregated to a longer time-step,

list(...) I can not get at the grid viewports in a ggplot2 plot. I know there is supposed to be a viewport called "panel_1_1" but downViewport() can't find it. Has the viewport been popped? I had a quick look at the functions involved (eg ggplot_plot) but there is no obvious problem there. > library(ggplot2) > qplot(1:10, 1:10) > current.viewport() viewport[ROOT] >

Hi list(...), I've narrowed down a weird bug. It's like a ghost in the machine, in that functions seem to remember things that they should not be able to. In the example below, the result of the second (and subseqent) calls depend on what was given in the first call. foo <- function(given = NULL) { callObj <- quote(callFunc()) if (!is.null(given)) callObj$given

Hallo, I'd like to write a GUI (first choice with GTK+). I've surfed through the R- an Omegahat-Pages, because I'd like to use RGTK2, GTK 2.10.11 in combination with glade on Windows XP (perhaps later Unix, Mac). I've found a lot of different information. Because of the information I'm not sure, if this combination is running on Windows XP and I'm unsure how it works. Is

Package plotAndPlayGTK provides a graphical user interface for R plots. Wrap it around your plot commands, like playwith(plot(mydata)). A window pops up with a Cairo plot device and a toolbar with buttons to interact with the plot. The default buttons allow you to add persistent labels to data points, zoom in and out and around, save the plot to a file, and so on. Furthermore, you can edit the

Package plotAndPlayGTK provides a graphical user interface for R plots. Wrap it around your plot commands, like playwith(plot(mydata)). A window pops up with a Cairo plot device and a toolbar with buttons to interact with the plot. The default buttons allow you to add persistent labels to data points, zoom in and out and around, save the plot to a file, and so on. Furthermore, you can edit the

Dear R-helpers, I tried the playwith packages for the first time, and it crashed R: > require(playwith) Loading required package: playwith Loading required package: lattice Loading required package: grid Loading required package: gWidgets Loading required package: gWidgetsRGtk2 Loading required package: RGtk2 Loading required package: cairoDevice > sessionInfo() R version 2.7.1

Hi List, This is possibly a newbie error. I have however searched long and hard and haven't found a solution. I am attempting to plot multiple lattice graphs in R, plotting 4 per page and moving on to a new device to plot the next 4 and so on. (I want to do this in R and not export to a pdf etc) I notice that in S-PLUS multiple tabs are opened in one device, R does not seem to have this

I have a question about xyplot. Suppose I want to plot say a response variable y vs a predictor x within groups defined by a variable called z. And suppose I have another variable v=1,2 with two levels. I would use the following command to get a "spaghetti plot" with two panels defined by v. xyplot(y~x|v,groups=z,type="l") My question is that on top of the panels, the title of

Hi. I have built a levelplot with 3 variables, X, Y, and Z where X and Y are the two axes and Z represents the intensity (i.e. Z~X*Y). Now I want to adjust the size of the grid (like a mosaic plot) where the size of each grid is weighted by a variable, W. Just wonder how can I do that with levelplot? I tried exploring mosaic plot. How can I manipulate the "col" option to make it

Great stuff, thanks. I'm copying this solution to R-help for reference. On 6/24/07, deepayan.sarkar at gmail.com <deepayan.sarkar at gmail.com> wrote: > On 6/23/07, Felix Andrews <felix at nfrac.org> wrote: > > Hi Deepayan, > > > > I have a Lattice question: is there any way to plot just one > > (specified) page of a multi-page display? > > Not in

A question about vectorized operations (avoiding loops, for speed)... I need to run a simple recursive (autoregressive) filter with a time-varying coefficient. It is just a one-step recursive filter, so it would be an exponential decay if the filter was constant. I just want to do this, where 'x' is the data and 'w' is the weight to apply to the previous time step: x <- c(1,

Hi! R is an amazing piece of software and with so many libraries it can do almost anything... but I was very surprised that a standard "binary search" function seems not to exist. I can find other much more highly-complex search routines (optimize, uniroot, nlm) in the standard no-extra-packages-loaded version of R, but not this simple alternative. I searched and found an

My question arises when I use levelplot graphics. For example, levelplot(z~x*y|fg) where fg is a factor with three levels of 'a','b','c'. The panels come out in a default order. I would like to rearrange the panels in a manner of 'c','b','a'. I used fg<-ordered(fg, levels=c('c','b','a')) But the panels are still the

Hi, I would like to know how to build the transfer function modeling for bivariate time series data. I tried searching for relevant threads, but could not find much help with it. Thanks Ashish [[alternative HTML version deleted]]