I use Gnuplot for most of my plots and save the plots as a png. But the resolution of the plots are not so good to put in research papers. So, I need help regarding the following two things:
How to prepare publication-quality plots (eps) in Gnuplot?
How to use calligraphic fonts in the plot, like those written using \mathcal{} in latex?
I searched on the internet regarding these two things, but could not get any ideas.
Thanks in advance.
Since you are stating LaTeX code in your question, I suppose that a solution including LaTeX is suitable for you. I am using gnuplot for producing publication-quality plots (and even TOC-figures!) too, and for me the most convenient method is to use the cairolatex standalone terminal, use LaTeX syntax (e.g. \mathcal{}) in the labels, plot titles and so on, and to compile the figures with pdfLaTeX. Often enough, journals accept figures not only in .eps, but also in .pdf format. If a journal was to refuse .pdf, I would simply convert the figure in the end (i.e. right before submission) to .eps, .png or whatever.
Related
I have a code in R with a lot of plots. Copying those plots to a word document manually is too much work, so I am looking for some code that exports those plots directly to a word document. I have tried to use the officer package, but I do not understand it well. I think that with a simple example it will be easier to understand it for me.
For example, suppose I have a code with two easy plots:
plot(1,2)
plot(0,0)
How can I create a word document in which this two plots appear? Thank you very much!
Hello everybody out there using R,
When putting multiple plots with thousands of data points into a single PDF file, this file can get huge and take a long time to open.
The following post describes exactly the same problem in Matplotlib, as well as a nice fix for it:
Matplotlib: multipage PDF with rasterized plots
Particularly nice about it is, that it only rasterizes the points without rasterizing the labels.
http://www.astrobetter.com/blog/2014/01/17/slim-down-your-bloated-graphics/ contains a nice example of it.
I am now looking for a similar solution in R.
I would like to produce a series of plots in both high-resolution and low-resolution versions, or stated differently using two different file types (.png and .eps). I'd like to know the best/least repetetive way to do this. I am using the gplot function in sna, and the plot has a custom legend outside the plot area. I wrote a function something like this:
library(sna)
plotfun <- function(net){
png("test.png",width=800)
p <- gplot(net)
par(xpd=T)
legend(max(p[,1])+1,max(p[,2]),legend=letters[1:10],title="custom legend")
dev.off()
seteps()
postscript(test.eps)
#repeat all the plotting commands, which are much longer in real life
dev.off()
}
#try it with some random data
plotfun(rgraph(10))
This is perfectly functional but seems inefficient and clumsy. The more general version of this question is: if for any reason I want to create a plot (including extra layers like my custom legend), store it as an object, and then plot it later, is there a way to do this? Incidentally, this question didn't seem sna specific to me at first, but in trying to reproduce the problem using a similar function with plot, I couldn't get the legend to appear correctly, so this solution to the outside-the-plot-area legend doesn't seem general.
I would recommend generate graphs only in Postscript/PDF from R and then generate bitmaps (e.g. PNG) from the Postscript/PDF using e.g. ImageMagick with -density parameter (http://www.imagemagick.org/script/command-line-options.php#density) set appropriately to get desired resolution. For example
convert -density 100 -quality 100 picture.pdf picture.png
assuming picture.pdf is 7in-by-7in (R defaults) will give you a 700x700 png picture.
With this approach you will not have to worry that the picture comes out formatted differently depending which R device (pdf() vs png()) is used.
I have a very complex plot, containing about 56,000 data points. It doesn't look right if I downsample it, so I really need to keep all of them. I would additionally like to add LaTeX captions to the figure. (The expression syntax, IMO, does not produce satisfactory rendering.)
After doing some digging around, TikZ seemed like the way to do it. But I found that it ran out of memory trying to plot the figure. I followed all of the advice I could find for TikZ memory management: this amounted to (1) using externalize and (2) increasing the main_memory for LaTeX to the maximum value (~12M). (I am using MacTeX 2014.) Neither of these solutions seemed to work.
At this point, having looked over SO and some other message boards, I am aware of only two options:
Switch to an alternate TeX interpreter, such as LuaTeX, which will allow me to use more memory, or
Use the native R plot, and then manually superimpose the desired labels onto the figures.
I consider (1) to be an acceptable solution, but the fact that I would need an alternate product makes me wonder if I am missing something. I wonder if there is a way to render complex native R plots, which happen to have TeX-style labels in them.
Suppose that I have a PostScript file containing a plot which was generated using gnuplot. However, I do not have the source data, nor do I have the gnuplot commands that were used to generate the plot.
Do you know of any way to somehow extract data from a graphic representation (i.e., a PostScript file)? Such code would have to literally "read off of the graph" (in particular, I have a smoothed line/scatter XY plot) from the pixel representation, and I know that the results would be approximate at best (but this would still be very highly desirable).
Do you have any experience with this? Thank you for your time!
PostScript is nothing but a programming language to describe pages. A PostScript file is a plain text file containing a program that descbrise a page which gets interpreted by a printer or viewer.
As such it is amendable to programmatic manipulation, albeit in a low-level way.
I would approach this task in the following way.
Learn PostScript. (The reference manual will come in handy.)
Study the output from gnuplot. How does the gnuplot outputs the graph? Is this systematic? etcetera.
Parse and extract the needed information.
g3data, available here, looks like a possibility. It runs on Linux.