similar to: Rotate a plot, and subplot

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

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 everyone. I want to solve the following problem. I have a data.frame and I create a dotplot using lattice. Then I want to use the grid-package to create a combined graphic which contains the dotplot as well as a textplot() (using package gplots) of the data.frame next to the dotplot. Example code: library(lattice) library(grid) library(gplots) xx <- data.frame(f=factor(rep(1:5, each=5)),

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 =

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

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",

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

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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

I am using lattice to make figures as pdfs: trellis.device(device = "pdf",file = "Figure6.pdf",color = FALSE) I need to specify some blank space on the left-hand margins (the pages will be bound so we need about 0.5 inch)). I have tried a number of solutions but none seems to work (e.g. par.set). Can this be done when initiating the plotting device? Or is the some other way

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(

Dear all R users, I am wondering whether it is possible in R to rotate any plot like Histogram, scatter plot, correlogram etc along with their legend, comments etc. Thanks and regrads, stat --------------------------------- Find out what India is talking about on - Yahoo! Answers India [[alternative HTML version deleted]]

Dear R-users, For the past few days, I have been trying to find the reason why some of my plots were showing symbols of different sizes, while I thought I was using the same .cex arguments everywhere. The problem is exemplified by the following example code where the xyplot and grid.points functions are used. The scaling factor is set to 0.84 in both the functions settings, but one can see

Hi! I am troubled by Sweave which I want to use in order to plot graphics which I build up successively by the use of grid.layout. Here is the code: <<fig=TRUE,label=evolDist,height=6in,width=3in,pdf=FALSE>>= ## combined plot via grid viewports grid.newpage() pushViewport(viewport(layout=grid.layout(2,1))) vlay <- function(x,y) viewport(layout.pos.row=x, layout.pos.col=y)

Dear R-users, I have got the following problem. I need to create 4x2 arrays of xyplot's on several pages. The plots are created within a loop and plotted using the print function. It seems that I cannot find the proper grid syntax with my viewports, and the more/newpage arguments. The following script is a simplification but hopefully will suffice to illustrate my problem. Any suggestion

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)) ##

I like the functionality provided by outer=TRUE, but when it comes time to place separate xlabs or ylabs, I always end up 'eyeballing' it on a case-by-case basis. For example, ##begin example require(lattice) cars.lo <- loess(dist ~ speed, cars) print(xyplot(cars.lo$residuals+cars.lo$fitted~cars.lo$x, strip=FALSE, outer=TRUE, layout=c(1,2),

Dear all, I'm trying to get a series of lattice levelplots to appear in viewports in a particular way but struggling to exert fine control over their appearence. There are two conditions: (a) I only want the levelplot to appear (I don't want axes, colour key, etc) in the viewport and (b) I want the levelplot to expand to the maximum allowable space in the viewport while observing

Short form: How do I transform the output of grid.locator() (or grid.locator(unit='npc')) to the native (or npc) coordinates of a viewport other than the top-level viewport? Thanks in advance. -Ben Long form: I would like the user to be able to click anywhere on the R graphics window. I would then like to figure out which leaf viewport the user clicked in and compute the native