similar to: grid error message when resizing graphics window after tcltk loaded

Hello - I am noticing some strange errors when using the grid package, but (apparently) only after loading the tcltk package. The interaction here does not make sense to me, and I'm wondering if anyone else can reproduce this, or if it is specific to my setup. Here is my sessionInfo: sessionInfo() R version 2.6.2 RC (2008-02-04 r44332) i686-pc-linux-gnu locale:

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

Dear R-devel - I have investigated the report I made at https://stat.ethz.ch/pipermail/r-devel/2008-May/049683.html some more, and believe I have enough information to warrant an update. My sessionInfo() immediately after starting R is at the bottom of this message. I decided to first concentrate on finding out why I sometimes receive a segfault while closing a graphics window while the

Greetings I am trying to make a multiple panel plot from a tool (genoPlotR) that is layered on grid. My code and session info are below. When I execute the code, I get a single plot in the center of the graphics page. I have tried various pop/push/down/seekViewport commands at the end of the plotpush method. There must be something I'm missing in the documentation, I believe what I

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 all, I am having a problem using grid when rotating a viewport. It seems to plot everything on a grey background colour which I am not able to get rid of. Even book examples such as that that plot figure 5.10 in P. Murrell's R Graphics book show the same behaviour. The following example illustrates this issue. I would appreciate if anyone has a way to solve this. Best regards,

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

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

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 first would like to compliment the authors of grid on what has been a wonderfully useful package for me. Now, my question: Is there any way I can specify the size of some grid.text using grid units? I must label the regions of a plot. The regions can be either very small or very large, so I would like to label each by fitting its text to the size of the region in question. Ideally, I

The following code, though not brilliant, works on an A4 page. It might look odd on other devices of a very different size. =============X8------- cut here ---------------------------- require(grid) wide <- 15 vps <- grid.layout(nrow = 3, ncol = 4, widths = unit(rep(1, 4), rep("null", 4)), heights = unit(c(99, 1, 99),

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.)

hello, the example below does not work. (i know it's not supposed, but it makes it clear what i'm trying to achieve) par(mfrow=c(2,1)) xyplot(y~x2|x1,data=dataframe1,pch=20) xyplot(y~x2|x1,data=dataframe2,pch=20) i know i could probably merge the two datasets and do something like xyplot(y~x2|x1+dataset,data=merged) any other suggestion? thanks. [[alternative HTML version deleted]]

Oh Knowledgeable Ones: I'm working on a project using grid graphics (for the first time). A toy example is given below, run it simply with >foobar() I am wondering why the pink dot and concentric circles are not centered on the 3-color axis system. Further, I feel like the concentric circles don't have the intended radius - if my math is right, the outmost circle should touch the

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 am trying to create a plot with pairs() using a gplot.hexbin() for each pair. For pairs I can provide a custom upperPanel function: pairs(iris[1:4], panel=mypanel) and mypanel() calls plot.hexbin(): library(hexbin) # Bioconductor mypanel <- function(x, ...){ hb <- hexbin(x) plot(hb) } The problem is that gplot.hexbin() is based on the

Hi, I'm trying to customize a window with 2 graphs. I'm able to do the first one with something like this general example par(mfrow=c(1,2),cex.axis=0.85,cex.lab=0.80,mai=c(1.3,1,0.5,0),las=3) bplot<-barplot(bar.values,names.arg=cf.names,width=0.5,ylab="% Area held") abline(h=0.3,lty=3,col="red") abline(h=0.1,lty=3,col="blue")

Dear R-help - I have thought about this question for a bit, and come up with no satisfactory answer. Say I have the numeric vector t1, given as t1 <- c(1.0, 1.5, 2.0, 2.5, 3.0) I simply want to reliably extract the unique integers from t1, i.e., the vector c(1, 2, 3). This is of course superficially simple to carry out. However, my question is related to R FAQ 7.31, "Why

Hello - I am wanting to create some Cox PH models with coxph (in package survival) using different datasets. The code below illustrates my current approach and problem with completing this. ### BEGIN R SAMPLE CODE ############################## library(survival) #Define a function to make test data makeTestDF <- function(n) { times <- sample(1:200, n, replace = TRUE) event

Dear R-help - Thanks to those who replied yesterday (Christos H. and Thomas L.) regarding my question on coxph and model formula, the answers worked perfectly. My new question involves the following. I want to run several coxph models (package survival) with the same dataset, but different subsets of that dataset. I have found a way to do this, described below in functions subwrap1 and