similar to: transforming output of grid.locator() to coordinates of a leaf viewport

Hi Deepayan and everyone, I need to add a common legend to a group of latice graphs, I have tried different ways using viewport and grid.draw without success. Here is what I have: plot.new() library(grid) library('IDPmisc') print(plot1, split=c(1,1,2,4), more=TRUE) print(plot4, split=c(2,1,2,4), more=TRUE) print(plot2, split=c(1,2,2,4), more=TRUE) print(plot5, split=c(2,2,2,4),

Hi, I recently created a function which uses grid with a viewport constructed with grid.layout() to position four plots on a plot device. My question is what's the best way to programatically traverse each element of the viewport? The grid is 5x5 and the four plots occupy positions (2,2), (4,2), (2,4), and (4,4). Here's the viewport code: pushViewport( viewport(

Am just feeling my way into the grid library, and cannot figure out how to define the plot limits. 3/5 of the example polygons below plot in the default 0-1 range viewport. But when I try to redefine the viewport the polygons plot in the same places. I also get the same result without employing push/pop. (As you can see from the scale I'm trying to introduce, I want to plot map polygons.)

Dear list, Following a recent enquiry, I've been playing with the idea of creating a colour gradient for a polygon, using the Grid package. The idea is to draw a number of stripes of different colours, using the grid.clip function. Below is my current attempt at this, library(grid) rotate.polygon <- function(g, angle=0){ # utility function, works fine matR <- matrix(c(cos(angle),

There was too many spelling mistakes in my original post so I have decided to re-submit it. So here is it Dear R users, I am trying to determine how many characters can be displayed within the width of an open grid viewport. Unfortunately, the arithmetic operation that seems obvious in this case is not permitted with unit objects (see example below). Although there is a brute force way to get

I am having a problem in editing a grob. It works ok if I try to shift the grob using npc coordinates but if I do the same thing using native coordinates the grob disappears. What is wrong? library(grid) grid.newpage() # create viewport pushViewport(viewport(xscale = c(100,200), name = "X")) # draw vertical line grid.lines(150, 0:1, default.units = "native", name =

Dr Murrell and others, It seems grid.ls() fails after any use of grid.remove(). It gives an infinite recursion error even in the simplest cases, and no matter what arguments are passed to grid.ls. > library(grid) > grid.newpage() > grid.lines(name="foo") > grid.ls() foo > grid.remove("foo") > grid.ls() Error: evaluation nested too deeply: infinite recursion

Hi all, I'm trying to generate a plot containing a scatterplot, with marginal densityplots for x and y. However, when I try to generate a vertical densityplot, I get the message "warning: can't clip to rotated viewport", and nothing shows up. I'm probably misunderstanding how viewports are meant to be used, so if someone could give me a hint, I'd be most grateful. my

Hello all, I'm trying to write a function using the gridBase package. I'd like to push several base subplots to a larger plot constructed with grid. However, I'm having trouble getting consistent results when running the function when the plotting window (quartz) is closed, when it is left open and the plot function is repeated to the same window, and when the output is saved to a

Hello, I am having trouble adding symbols to grid graphics. I am able to create a lattice scatterplot using xyplot, which has a range from -15:15 in both the X and Y directions. However, when I try to add circles and text to this graph using grid.circle() and grid.text(), they are offset using the default npc coordinates. Nothing happens when I pass the parameter default.units="native"

Hi, I want to produce two parallel rotated strips with color gradient. So far, the sample strip is something produced by this: pushViewport(viewport(x = unit(0.638, "npc"), y =unit(0.386, "npc"), width=.62, height=0.006, angle=137.2)) grid.rect(y=100:1/100, just="top", gp=gpar(col=NA, fill=colorRampPalette(c("lightgray",

Dear grid-expeRts, The goal: I would like to construct a plot (matrix) with grid and gridBase, which consists of four "sub-plots". The sub-plots should have a square plotting region as one would force with par(pty="s") in base graphics. The problem: I don't get a square plotting region, not even by specifying pty="s" in par(). Indeed, if you display the grid

platform x86_64-unknown-linux-gnu arch x86_64 os linux-gnu system x86_64, linux-gnu status major 2 minor 6.2 year 2008 month 02 day

Dear R-users, As far as I understand, when one defines the width of a rectGrob call using a 'npc' unit, the width of the object is proportional to the width of the current viewport. Is there a way to refer to the height (or width) of the viewport when defining the width (or height) of the rectGrob object? Thanks Sebastien [[alternative HTML version deleted]]

Dear all, In an attempt to draw fill patterns in grid graphics, I have encountered a behavior of grobX that I cannot understand from the documentation. Consider this, library(grid) ## gTree g1 <- gTree(children=gList( rectGrob(0.5,0.5, width=unit(0.8,"npc"), height=unit(2,"cm")), circleGrob(r=0.3)), vp=viewport(0.5,0.5)) ##

Hi: I would like to find out the panel of a xyplot matrix where a mouse clicked. I know this functionality is already bundled in trellis.focus but I can't use it because I am coding a stand alone application in Java using with GDCanvas as a graphics device. I tried calling trellis.focus from Java with: re.eval("t = trellis.focus()")); However it did not work for an embedded

Dear R-users, I am trying to use the grid.text and expression functions to display several character strings and plotmath text on a viewport. Some strings can include a variable portion (PI.limits in the following example), which I thought could be implemented by combining the bquote and the expression functions. Unfortunately, my expressions do not seem to be evaluated. I would greatly

Dear list, I'm trying to produce a plot via xyplot with minimal sourounding white space. However, I cannot find the options in xyplot, ps.options or wherever which prevents lattice from drawing quite some white space around my plot. However, this is quite a problem for me as I want to produce an inset plot inside another lattice-plot. I'm using the panel function to open a viewport and

Hi All, I have been able to modify the x-axis to start at zero by adding xlow and xhigh parameters; that was pretty simple. I have been unable to find the location of the code that would turn off the information weighting of the box size (I have smaller randomized trials getting less weight than a much larger non-randomized trial). The function is forestplot() from rmeta. Thanks for any

Hello all, I'm trying to write a function that produces a main plotting region with several square plots along the right side. Ideally the size of right side plots will scale only with the height of the entire plot, yet never overlap with another secondary plot. The following two snippets get close, however, as I resize the plot horizontally the right side plots (green squares) get smaller