Getting R plots into LaTeX?

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.

Shane is spot-on, you do want Sweave. Eventually.

As a newbie, you may better off separating task though. For that, do this:

1. open a device: pdf("figures/myfile.pdf", height=6, width=6).
2. plot your R object: plot(1:10, type='l', main='boring') -- and remember that lattice and ggplot need an explicit print around plot.
3. important: close your device: dev.off() to finalize the file.
4. optional: inspect the pdf file.
5. in LaTeX, use usepackage{graphicx} in the document header, use
   \includegraphics[width=0.98\textwidth]{figures/myfile} to include the figure created earlier and note that file extension is optional.
6. run this through pdflatex and enjoy.

You might want to consider using Sweave. There is a lot of great documentation available for this on the Sweave website (and elsewhere). It has very simple syntax: just put your R code between <<>>= and @.

Here's a simple example that ends up looking like this:

\documentclass[a4paper]{article}

\title{Sweave Example 1}
\author{Friedrich Leisch}

\begin{document}

\maketitle

In this example we embed parts of the examples from the
\texttt{kruskal.test} help page into a \LaTeX{} document:

<<>>=
data(airquality)
library(ctest)
kruskal.test(Ozone ~ Month, data = airquality)
@
which shows that the location parameter of the Ozone 
distribution varies significantly from month to month. Finally we
include a boxplot of the data:

\begin{center}
<<fig=TRUE,echo=FALSE>>=
boxplot(Ozone ~ Month, data = airquality)
@
\end{center}

\end{document}

To build the document, you can just call R CMD Sweave file.Rnw or run Sweave(file) from within R.