similar to: ggplot 2 - editing in the "panel_1_1" viewport

Dear all, I'm trying to access and modify grobs in a ggplot2 plot. The basic idea for raw Grid objects I understand from Paul Murrell's R graphics book, or this page of examples, http://www.stat.auckland.ac.nz/~paul/grid/copygrob/copygrobs.R However I can't figure out how to apply this to a ggplot (basically I don't know how to write a syntactically correct gPath), p

I'm trying to create a layout with named viewports that I can use for other functions. I create the viewport tree that I want, and a list of grobs with the viewports describing where they should go. library(grid) vp <- vpTree( viewport(layout=grid.layout(2,2), name="layout"), children=vpList( viewport(layout.pos.col = 1, layout.pos.row=1, name="tl"),

Dear list, As a minimal test of a more complex grid layout, I'm trying to find a clean and efficient way to arrange text grobs in a rectangular layout. The labels may be expressions, or text with a fontsize different of the default, which means that the cell sizes should probably be calculated using grobWidth() and grobHeight() as opposed to simpler stringWidth() and stringHeight().

If I run the following example from: http://www.stat.auckland.ac.nz/~paul/grid/doc/grobs.pdf > grid.newpage() > pushViewport(viewport(w = 0.5, h = 0.5)) > myplot <- gTree(name = "myplot", children = gList(rectGrob(name = "box", + gp = gpar(col = "grey")), xaxisGrob(name = "xaxis"))) > grid.draw(myplot) >

Dear All, I continue trying to get several of my plotting functions to use ggplot, because I really do like the concept of the graphical objects, and working with them in the abstract. I am now trying to access the grobs to manipulate using grid. However, until now all I managed was to get the plot as a gTree object, and manipulate it as a gTree from there. The problem is that then it is no

Dear list, I'm trying to arrange various grid objects on a page using a frameGrob. It works fine with basic grobs (textGrob, gTree, etc.), and also with ggplot2 objects using the ggplotGrob() function. I am however stuck with lattice. As far as I understand, lattice produces a list of class trellis, which is eventually displayed using the plot.trellis method. I am not sure if/how one can

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] >

Dear list, Can someone explain why the childNames below gives character(0) instead of the (canonical) names of the children grobs of the xaxis gTree ? [1] "major" "ticks" "labels" Many thanks in advance, Tobias ### minimal example code ### library(grid) pushViewport(plotViewport(c(5,4,4,2))) pushViewport(dataViewport(1:5, 1:5)) grid.points(1:5, 1:5)

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 everyone,I'm trying to figure out how to use gPath and the documentation is not very helpful :( I have the following plot object: plot-surrounds:: background plot.gTree.378:: background guide.gTree.355:: (background.rect.345, minor-horizontal.segments.347, minor-vertical.segments.349, major-horizontal.segments.351, major-vertical.segments.353) guide.gTree.356::

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),

Hi, I wanted to generate a plot which is almost like the plot generated by the following codes. category <- paste("Geographical Category", 1:10) grp1 <- rnorm(10, mean=10, sd=10) grp2 <- rnorm(10, mean=20, sd=10) grp3 <- rnorm(10, mean=15, sd=10) grp4 <- rnorm(10, mean=12, sd=10) mydat <- data.frame(category,grp1,grp2,grp3,grp4) dat.m <- melt(mydat) p <-

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

Hello! Don't quite understand how can I delete grobs and simultaneously erase graphic output they produce. I first change grob's "vp" field to null (grid.edit(gr,vp=NULL)) to erase it and then call rm(gr) (as grobs are external pointers I'm not shure what this method actually frees allocated memory). May be there is simpler method? Does garbage collector have any effect

Hello! Don't quite understand how can I delete grobs and simultaneously erase graphic output they produce. I first change grob's "vp" field to null (grid.edit(gr,vp=NULL)) to erase it and then call rm(gr) (as grobs are external pointers I'm not shure what this method actually frees allocated memory). May be there is simpler method? Does garbage collector have any effect

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

The xyplot help page gives quite a lot of information how to use key and indicates that legend needs to be used if multiple keys are needed. However, it gives only a brief description of what the grob needs to contain to do multiple keys. I've only used the occasional grid function in panel functions, so I don't have much of a sense of how grobs are constructed. I've been unable to

I am trying to create a lattice plot and would like to later, i.e. after the plot is drawn, add a grey rectangle behind a portion of it. The following works except that the rectrangle is on top of and obscures a portion of the chart. I also tried adding col = "transparent" to the gpar list but that did not help -- I am on windows and perhaps the windows device does not support

Hello, Maybe I missed something - most likely .:-( I create a gplot and then makes some changes to the plot using grid graphics functions. These changes show up on the display OK, but when I save using ggsave() the grid changes do not show up. How do I save the plot with these changes? Thanks in advance. -- View this message in context:

Dear list, I have two questions regarding grid.symbols() in the grImport package. This package allows you to import a vector graphic in R, and grid.symbols() can be used to plot the resulting glyph at arbitrary locations in a grid viewport. I have tried the code in the grImport vignette, which is most interesting, however I am stuck with two problems: 1- Is there a possibility to create a