I would recommend the tikzDevice
package for producing output for inclusion in LaTeX documents:
http://cran.r-project.org/web/packages/tikzDevice/index.html
The tikzDevice converts graphics produced in R to code that can be interpreted by the LaTeX package tikz
. TikZ provides a very nice vector drawing system for LaTeX. Some good examples of TikZ output are located at:
http://www.texample.net/
The tikzDevice
may be used like any other R graphics device:
require( tikzDevice )
tikz( 'myPlot.tex' )
plot( 1, 1, main = '\LaTex\ is $\int e^{xy}$' )
dev.off()
Note that the backslashes in LaTeX macros must be doubled as R interprets a single backslash as an escape character. To use the plot in a LaTeX document, simply include it:
include{path/to/myPlot.tex}
The pgfSweave
package contains Sweave
functionality that can handle the above step for you. Make sure that your document contains usepackage{tikz}
somewhere in the LaTeX preamble.
http://cran.r-project.org/
The advantages of tikz()
function as compared to pdf()
are:
The font of labels and captions in your figures always matches the font used in your LaTeX document. This provides a unified look to your document.
You have all the power of the LaTeX typesetter available for creating mathematical annotation and can use arbitrary LaTeX code in your figure text.
Disadvantages of the tikz()
function are:
It does not scale well to handle plots with lots of components. These are things such as persp()
plots of large matricies. The shear number of graphic elements can cause LaTeX to slow to a crawl or run out of memory.
The package is currently flagged as beta. This means that the interface or functionality of the package is subject to change if the authors find a compelling reason to do so.
I should end this post by disclaiming that I am an author of both the tikzDevice
and pgfSweave
packages so my opinion may be biased. However, I have used both packages to produce several academic reports in the last year and have been very satisfied with the results.
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