similar to: positioning of separate y-axis labels in xyplot

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(

I am setting up base plots -- one in viewport A and and one in B. This part works fine. But if I go back to A after having done B and add horizontal lines it seems to not use the correct coordinates. How do I tell it to resume using A's coordinates? I am already using par(fig = gridFIG()) but it seems that that's not enough to reestablish them. What happens is that when I go back to

I am setting up base plots -- one in viewport A and and one in B. This part works fine. But if I go back to A after having done B and add horizontal lines it seems to not use the correct coordinates. How do I tell it to resume using A's coordinates? I am already using par(fig = gridFIG()) but it seems that that's not enough to reestablish them. What happens is that when I go back to

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Hi, I am having trouble plotting a series of dendrograms using lattice and grid code as found in Paul Murrells book R Graphics. This is the error message I recieve: Error in downViewport.vpPath(vpPathDirect(name), strict, recording = recording) : Viewport 'plot1.panel.1.1.off.vp' was not found I have attached the code and also my data file. Should anyone have any suggestions then

## This example runs in R 2.3.1 and does not run in R 2.4.1. I am ## raising it here for two questions: one on how to debug functions ## inside a namespace, the other on how to control clipping. tmp <- data.frame(x=1:5, y=1:5, a=factor(c(1,1,1,1,1), levels=1:4)) xyplot(y ~ x, data=tmp, ylim=c(1.5,4.5), panel=function(x,y, ...) { cpv <- current.viewport()

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

Dear R-users, I have a plot created with the code below. I tried to put some text to the right of the color key. I worked with grid.text and also viewport(), but couldn't achieve this. I know this should be simple, but I just couldn't figure out how to do it. How does this work? Cheers, Marius library(lattice) library(grid) myvec=1:10 data=data.frame(x=myvec,y=myvec)

Hello everybody, often I plot boxplots with different number of boxes (up to 200 boxes). I'd like to give every box a readable label on the x-axis. Therefore, I decrease the fontsize of the names and plot them vertical. But if you zoom into the plot (pdf) you will find an offset between the tickmark and the label - the label is shifted to the right. If you vary the box.count in the

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] >

A year ago I had posted this code https://stat.ethz.ch/pipermail/r-devel/2005-June/033508.html and the associated discussion was that there would be a print.trellis argument that could be used to eliminate the need for with.vpPath or with.viewport there. I assume that that is what draw.in= in print.trellis is for. When I try it I get an error. I did notice that ?print.trellis says draw.in=

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)),

Hello ! I'm struggling again against lattice graprhics. ;) I'm trying to produce a conditionnal xyplot with two conditionning factors (let's say A and B). I want the levels of those factors (A1, A2, etc) to show in the margins of the lattice plot, not in the strips between the panels. A1 A2 A3 plot11 plot12 plot13 B1 plot21 plot22 plot23 B2 I managed to remove the

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 all, Is there a way to rotate a plot, e.g. a histogram, by a certain angle (90/180/270 degress)? I spent hours trying to figure out how this is done, but without success. Also, I'm looking for an equivalent to the S-Plus "subplot" command to insert a kind of "thumbnail" graphic into a bigger one. How is this best done in R? Thanks for your help Pascal

Hello, I plotted a nice tree with "ctree" . It shows 3 nodes with the prediction of my 2 groups. (see picture) Unfortunately I need a larger scale to read the exact prediction of my groups to get the specificity and sensitivity. I tried to change the scale with "axis" but it didn't work, my guess because it's not a normal graph with x and y axis. Has someone an idea

A recent paper on visualisation (in Neuron, a leading neuroscience journal) surveyed how well previous articles in this journal labelled their graphs (e.g. axis labelling and describing their error bars). Of particular interest is that (only) 40% of plots labelled what their colorkey was showing (variable and units). The paper is at http://dx.doi.org/10.1016/j.neuron.2012.05.001 R is not yet

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 Mackay and anybody (a) Is it possible to select randomly (let say five grids) and plot? (b) Is it possible to plot five nearest grid in one figure? The original question and improved codes: #I am ploting gridded time series data. I would like the actual lat #and lon value appear on the graph-if possible inside the graph as #numbers. If there is also more elegant ways to plot the graphs I

Why does the seekViewport at the bottom give an error? > xyplot(Sepal.Length ~ Sepal.Width, iris, group = Species, col = 11:13, + auto.key = TRUE) > grid.ls(view = TRUE) ROOT GRID.rect.89 plot1.toplevel.vp plot1.xlab.vp plot1.xlab 1 plot1.ylab.vp plot1.ylab 1 plot1.strip.1.1.off.vp GRID.segments.90 1 plot1.strip.left.1.1.off.vp