An example of output from the R package tikzDevice . R plotting command are output at a very low level as TikZ commands. tikzDevice combines the computational power of R with the graphical beauty of and font consistancy of TikZ. For details please see the vignette available with the package, available here.
The following R code was used to generate the first plot:
#Load the tikzDevice package, if you dont have it, install with:
# install.packages("tikzDevice", repos="http://R-Forge.R-project.org")
require(tikzDevice)
# The following wwill create normal.tex in the working
# directory the first time this is run it may take a long time because the
# process of calulating string widths for proper placement is
# computationally intensive, the results will get cached for the current R
# session or will get permenantly cached if you set
# options( tikzMetricsDictionary='/path/to/dictionary' ) which will be
# created if it does not exist. Also if the flag standAlone is not set to
# TRUE then a file is created which can be included with \include{}
tikz('normal.tex', standAlone = TRUE, width=5, height=5)
# Normal distribution curve
x <- seq(-4.5,4.5,length.out=100)
y <- dnorm(x)
# Integration points
xi <- seq(-2,2,length.out=30)
yi <- dnorm(xi)
# plot the curve
plot(x,y,type='l',col='blue',ylab='$p(x)$',xlab='$x$')
# plot the panels
lines(xi,yi,type='s')
lines(range(xi),c(0,0))
lines(xi,yi,type='h')
#Add some equations as labels
title(main="$p(x)=\\frac{1}{\\sqrt{2\\pi}}e^{-\\frac{x^2}{2}}$")
int <- integrate(dnorm,min(xi),max(xi),subdivisions=length(xi))
text(2.8, 0.3, paste("\\small$\\displaystyle\\int_{", min(xi),
"}^{", max(xi), "}p(x)dx\\approx", round(int[['value']],3),
'$', sep=''))
#Close the device
dev.off()
# Compile the tex file
tools::texi2dvi('normal.tex',pdf=T)
# optionally view it:
# system(paste(getOption('pdfviewer'),'normal.pdf'))
The second plot:
#Load the tikzDevice package, if you dont have it, install with:
# install.packages("tikzDevice", repos="http://R-Forge.R-project.org")
require(tikzDevice)
#Names of LaTeX symbols
syms <- c('alpha','theta','tau','beta','vartheta','pi','upsilon','gamma',
'varpi','phi','delta','kappa','rho','varphi','epsilon','lambda',
'varrho','chi','varepsilon','mu','sigma','psi','zeta','nu',
'varsigma','omega','eta','xi','Gamma','Lambda','Sigma','Psi',
'Delta', 'Xi','Upsilon','Omega','Theta','Pi','Phi')
len <- length(syms)
# random colors (red, green, blue)
r <- round(runif(len), 2)
g <- round(runif(len), 2)
b <- round(runif(len), 2)
# calculate dummy data points
x <- runif(50,1,10)
y <- x + rnorm(length(x))
fit <- lm(y ~ x)
rsq <- summary(fit)$r.squared
rsq <- signif(rsq,4)
# plot the result, will create symbol-regression.tex in the working
# directory the first time this is run it may take a long time because the
# process of calulating string widts for proper placement is
# computationally intensive, the results will get cached for the current R
# session or will get permenantly cached if you set
# options( tikzMetricsDictionary='/path/to/dictionary' ) which will be
# created if it does not exist. Also if the flag standAlone is not set to
# TRUE then a file is created which can be included with \include{}
tikz('symbol-regression.tex',standAlone = TRUE, width = 5,height = 5)
# plot the box and the regression line
plot(x, y, type='n', xlab='', ylab='')
box()
abline(fit)
# add the latex symbols as points
text(x, y, paste('\\color[rgb]{',r,',',g,',',b,'}{$\\',syms,'$}',sep=''))
# Display the correlation coefficient
mtext(paste("Linear model: $R^{2}=",rsq,"$" ),line=0.5)
# and the equation of the line
legend('bottomright', legend = paste("$y = ", round(coef(fit)[2],3),
'x +', round(coef(fit)[1],3), '$', sep=''), bty= 'n')
# Close the device
dev.off()
# Compile the tex file
tools::texi2dvi('symbol-regression.tex',pdf=T)
# optionally view it:
# system(paste(getOption('pdfviewer'),'symbol-regression.pdf'))
Do you have a question regarding this example, TikZ or LaTeX in general? Just ask in the
LaTeX Forum.
Oder frag auf Deutsch auf TeXwelt.de.
En français: TeXnique.fr.
% tikzDevice demonstration
% Author: Cameron Bracken
\documentclass{article}
\usepackage{tikz}
\begin{document}
% Created by tikzDevice
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\node[color=drawColor,anchor=base,inner sep=0pt, outer sep=0pt, scale= 1.20] at (192.68,332.61) {\bfseries $p(x)=\frac{1}{\sqrt{2\pi}}e^{-\frac{x^2}{2}}$};
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% Created by tikzDevice
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Comments
Thanks for this. I've been thinking about putting something together to take objects in R and write LaTeX files to plot in TikZ. I don't think Sweave/Rweave is a particularly elegant solution and there could be much more done to improve things for statisticians who use LaTeX.
Ultimately, I want to be able to plot my GAMs with TikZ because I hate the way PostScript handles text.
Glad you like it! We hope that tikzDevice will inspire R users to be more conscious about their graphics, especially those with lots of text.
We have some big ideas for improving Sweave cooking up. They will most likely be incorporated into pgfSweave at some point.
My version of tikz accepts /node [rotate = integer] rather than float
Which version are you using? We strongly suggest using version 2.00, which is what we test with.
I would just like to thank you for that very nice work; enjoying simultaneously tiKz and R is awesome.
Great example! I have adapted it to add latex notation to the axis in a plot generated via ggplot2. However, I cannot tune the size of the axis labels. Any workaround for that?
I'd like to thank you for this package. It is exactly what I have been looking for. I had produced a few flowcharts for my thesis using TikZ, and started wishing that all the plots I generated in R looked as consistent. Now tikzDevice is my output of choice. Keep up the great work!
That's a s**t load of code for something that I believe could be achieved in far less.
Havn't got the time right now, but for those who are interested, try ggplot2 + R + knitr, killer combo.
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