similar to: help printing plots

Hi I'm trying to print several plots to a multi-page postscript file. Some plots are output of basic commands, some are produced by "trellis" commands (from the package lattice). Right now I'm not able to get a straightforward black and white color scheme for the latter kind: when I open the postscript file the "trellis" plots are invisible, or parts of them are

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

Dear all, I'm just trying to create plots for all variables in a dataframe (named "x") using the following: png() apply(x,2,hist) Just as intended, it produces one plot for each variable. Unfortunately, the main title of each graph is "Histogram of newX[,i]" instead of "Histogram of name of variable". This makes it impossible to assign the graphs to the

Hi list, I wonder if anyone has thoughts on making image plots in R [using image() or image.plot(), or filled.contour()]- I've made quite a bit now, but they seem quite large in size when exported to pdf file format (even after compressing with pdftk or ghostscript, which I regularly do). I know that for "images", raster graphics output (png, tiff) may be the way to go, but often the

Hi list, I wonder if anyone has thoughts on making image plots in R [using image() or image.plot(), or filled.contour()]- I've made quite a bit now, but they seem quite large in size when exported to pdf file format (even after compressing with pdftk or ghostscript, which I regularly do). I know that for "images", raster graphics output (png, tiff) may be the way to go, but often the

Hi, I often find myself staring at IR and wanting to look at the C source code it corresponds to. To do so, I look up the debug identifier for the given IR line, scroll to the bottom of the IR file to find the debug identifier, look at the debug location (source and column), and then look at the source file. Too many steps. What would be great is a tool that took two files, i.e., a .c file and a

hi, I've noticed a small problem trying to include postscript plots generated by R into a latex document. Specifically, the latex package graphicsx allow you to specify the bounding box of the postscript file, so that you can just show _part_ of the postscript file if you tell it to also clip the area outside of the bounding box. I've previously used this LaTeX feature without problems

Hello all, I have a data set where the response variable is the percent cover of a specific plant (represented in cover classes 0,1,2,3,4,5, or 6). This data set has a lot of zeros (plots where the plant was not present). I am trying to model cover class of the plant as a function of both total nitrogen and shrub cover. After quite a bit of research I have come across a conditional approach

Martin Maechler <maechler@stat.math.ethz.ch> writes: > (from R-help) > PD> Stephen Eglen <stephen@cogsci.ed.ac.uk> writes: > > > > > generated by R into a latex document. Specifically, the latex package > > > > graphicsx allow you to specify the bounding box of the postscript > > > > file, so that you can just show

Hi there, I am trying to have a connectivity graph (two plots at once) in R: this is an example: x1=sin((0:100)*2*pi/100) y1=cos((0:100)*2*pi/100) plot(x1,y1) will draw a circle and x2=c(1,9,3,4,8,4,2,0) y2=c(3,6,8,2,4,1,9,6) plot(x2,y2,type="b") will draw a graph with corresponding x's and y's and connects the point. I want to have a circle with these points connected to

Hi list, >From the xyplot() documentation I'm guessing this may not be possible, but is there a way to specify a scale definition something between relation="free" and relation="same" such that the scales are fixed across rows and column margins are removed for a M x N conditioning plot (sort of like ggplot2 plots)? I find that the margin spacing in between each panel

While running the llvm tests, I get several error messages like these: [1/1] Running the LLVM regression tests FAILED: cd /home/steve/llvm-build/test && /usr/local/bin/python /home/steve/llvm/utils/lit/lit.py --param build_config=. --param build_mode=Release -sv --param llvm_site_config=/home/steve/llvm-build/test/lit.site.cfg --param

Hi, Does anyone know if there is a way to 'reset the plot number' on a traditional graphics device? For instance, I want to have two plots on stacked top of each other (mfrow=c(2,1)) but with underlying grid lines spanning both figures vertically. I can put the grid lines on top if I add them last: par(mfrow=c(2,1)) plot.new() plot.window(c(0,1),c(0,1)) for( i in 1:2) axis(i)

I am using windows XP with R 2.8.1 I am generating a lattice plot of annual rain patterns using the following function: > xyplot(rain.stats$min+ rain.stats$max + rain.stats$ave ~ rain.stats$month |rain.stats$year, lty = 1, data = rain.stats, type = c("l","l", "l"), col = c("red", "blue", "green"), distribute.type =

This occurred after I installed R x64 2.13.1 on Windows: savePlot("95%.winners.wmf") saves the file as: "951nners.wmf" Is this the correct behavior, or have I bungled something? John Welsh, Ph.D. Associate Professor Molecular and Cancer Biology Vaccine Research Institute of San Diego 10835 Road to the Cure San Diego, CA 92121 Phone: (858) 581-3960 ex.248 Email: jwelsh at

I want to make a graph where each element plotted is itself a graph. I can see how to use par(fig=) and viewport to do that, but they require (i think) me to do my own scaling as they are scaled to the graphics window. any advice on which approach I should take (just bite the bullet and do my own scaling), or is there something else I should try, or any examples I should look at. many thanks

I'm having a problem printing from a W2K client to an HP4 Plus printer connected to a FreeBSD 4.5 server. Using lpd from either the server or other clients on the network prints correctly. The printer also works fine when connected directly to the W2K client. Anything I print from the W2K client with more than one page, prints all pages on one piece of paper. Makes it a little hard to

> version _ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 0.1 year 2004 month 11 day 15 language R > paste("25", "?C", sep = "") [1] "25\302\260C" In ESS, I get "25\201\260C" The ?C does end up in the plot alright, but it has an accented A as well which

I often use R CMD BATCH to run my files (e.g. script.R), and get the output recorded in script.Rout -- this is great. On my setup (R.2.3.0 on linux), if any plots are created, they get stored in Rplots.ps. This can get confusing if I have several batch scripts in one directory. I've written a simple shell script to rename Rplots.ps to e.g. script.Rout.ps so that later I can easily identify

I am starting with a matrix in which rows are vegetation plots and columns are various characteristics including ID# and elevation. I removed elevation and ID columns to avoid having those characteristics influence the distances between points which I calculated using the "dist" command. The resulting distance file was then used in isoMDS. What I want to know is whether I can