search for: gridgraphics

.... It does work with > qplot() from 'ggplot2'. Unfortunately, qplot() doesn't know how to > deal with data of class drc. > > I'm at a loss on how to proceed here. Any thoughts? > Hi, If you grab the plots as grobs, you can arrange them using grid.arrange() library(gridGraphics) library(gridExtra) grab <- function{ grid.echo() grid.grab() } x <- rnorm(100, 1, 2) y <- rnorm(100, 0, 0.5) plot(x,y) p <- grab() a <- rnorm(20, 0, 1) b <- rnorm(20, 1, 2) plot(a, b) q <- grab() grid.arrange(p, q) Best, Eivind K. Dovik Bergen, NO > __________...

The answer is "don't do that" because that function abuses par. Use lattice or ggplot2 with grid graphics to plot multiple heatmaps. https://stackoverflow.com/questions/15114347/to-display-two-heatmaps-in-same-pdf-side-by-side-in-r -- Sent from my phone. Please excuse my brevity. On July 23, 2017 5:11:32 AM PDT, Brian Smith <bsmith030465 at gmail.com> wrote: >Hi, >

I have dose response data I have analyzed with the 'drc' package. Using plot() works great. I want to arrange my plots and source data on a single page. I think 'gridExtra' is the usual package for this. I could use plot() and par(mfrow=...), but then I can't put the source data table on the page. gridExtra provides grid.table() which makes nice graphical tables. It

I recommend instead of no border, that you use a border with the same color as the fill. I do this in the likert functions in the HH package. Rich On Mon, May 21, 2018 at 10:59 AM, Martin Batholdy via R-help <r-help at r-project.org> wrote: > Dear R-users, > > I want to draw a barplot with beside=TRUE. > One halve of the bars are drawn with a border, while the other halve are

...he prepending of those extra directories, to give Windows users full control of the path seen by system(). Would adding such an argument have undesirable ramifications?) Motivation and reproducible example: I'm motivated here by a desire to use the function plotdiff() from Paul Murrell's gridGraphics package on my Windows laptop. Getting that to work will require a few code fixes, of which the masking of ImageMagick's convert.exe by that in the C:/Windows/System32 seems to be the most challenging. plotdiff() relies on system2() calls to ImageMagick's 'convert' function, as wel...

Hi, I was trying to use par(mfrow) to put 4 heatmaps on a single page. However, I get one plot per page and not one page with 4 plots. What should I modify? Test code is given below: test = matrix(rnorm(60), 20, 3) pdf(file='test.pdf',width=10,height=8) par(mfrow=c(2,2)) heatmap(test) heatmap(test) heatmap(test) heatmap(test) dev.off() thanks! [[alternative HTML version deleted]]

Dear R-users, I want to draw a barplot with beside=TRUE. One halve of the bars are drawn with a border, while the other halve are drawn without a border (i.e. filled bars vs. non-filled bars next to each other). Because borders are drawn around the bars, doing this leads to one halve of the bars being wider than the other halve, expanding across the 0-point of the y-axis. This problem emerges

This was actually the first thing that ChatGPT debugged for me. The issue was that I was able to click on the link when I displayed the raw SVG in the browser (you can use that to test whether the syntax is even correct), but not when the svg displays inside a html page with the <img ...> tag. ChatGPT correctly identified the issue and suggested a solution using <object ...> tags

...quot; ggplot2 "ggplot2" "/usr/local/lib/R/site-library" "3.5.1" ggrepel "ggrepel" "/usr/local/lib/R/site-library" "0.9.6" glue "glue" "/usr/local/lib/R/site-library" "1.8.0" gridGraphics "gridGraphics" "/usr/local/lib/R/site-library" "0.5-1" gtable "gtable" "/usr/local/lib/R/site-library" "0.3.5" isoband "isoband" "/usr/local/lib/R/site-library" "0.2.7" labeling &quot...

...ies, to give > Windows users full control of the path seen by system(). Would adding > such an argument have undesirable ramifications?) > > > Motivation and reproducible example: > > I'm motivated here by a desire to use the function plotdiff() from > Paul Murrell's gridGraphics package on my Windows laptop. Getting > that to work will require a few code fixes, of which the masking of > ImageMagick's convert.exe by that in the C:/Windows/System32 seems to > be the most challenging. plotdiff() relies on system2() calls to > ImageMagick's 'convert...

Note that I sent this to r-devel, yesterday. However, it didn't appear on the mailing list. So, I'm resending it. Today, I plotted the following: > filled.contour (,,z, color.palette=terrain.colors) It looked OK, in R. However, when I created a PDF document, the plot (and other similar plots) had grid (and other) lines in it, that shouldn't be there. Note that this problem is more

Hi All, I'm building an autograding framework for my biostatistics class this semester, and I am exploring different ways to automatically grade figures. In other classes, I teach ggplot2 and I extract information directly from the ggplot2 object. However, in this class we are using base R and I need to extract information from base-r graphics. I've tried several different approaches,

Don't you have to load BiocManager before using it? -----Original Message----- From: R-SIG-Debian <r-sig-debian-bounces at r-project.org> On Behalf Of Gerber, Lauren J Sent: Tuesday, October 15, 2024 9:15 AM To: r-sig-debian at r-project.org Cc: dirk at eddelbuettel.com Subject: Re: [R-sig-Debian] R Package: 'ggbreak' in Dockerfile Hi All, Does anyone have experience

Hi, I would like to use the beanplot() function from the beanplot package. Unfortunately, I can't find out how to suppress the dashed horizontal line, that shows the overall mean. In the help I've found the argument "overallline", but it only allows for "mean" or "median" . I have tried overallline = F, overallline="n", and

I have two chromatograms I want plotted on the same axes. I would like the plots to be transparent, so the first chart is not obscured. I have tried adjustcolor(..., alpha.f=0.3), the problem is that my chromatogram is so dense with datapoints that they overlap and the entire graph just ends up a solid color. The second histogram still obscures the first. Consider this example: col1 <-