Making publication-ready tables with xtable

February 12, 2010

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

When you use R at the command-line, the textual output is limited by the medium: one monospaced font, with no typesetting of any kind. That’s great when you’re doing exploratory analysis, but what about when you want to include R output in a report or publication? In other words, what if you want to convert this Analysis of Variance table:

       Df Sum Sq Mean Sq F value  Pr(>F)  
sex      1  75.4  75.37 0.3793 0.539478  
ethnicty   3 2572.1 857.38 4.3147 0.006781 **
sex:ethnicty 2  298.4 149.22 0.7509 0.474767  
Residuals  93 18480.0 198.71 

to this:


or this:

Df Sum Sq Mean Sq F value Pr(> F)
sex 1 75.37 75.37 0.38 0.5395
ethnicty 3 2572.15 857.38 4.31 0.0068
sex:ethnicty 2 298.43 149.22 0.75 0.4748
Residuals 93 18480.04 198.71

With the xtable package, you can. It’s a handy tool for converting the output of many of R’s statistical functions into a presentation-ready table in LaTeX or HTML format. For example, to create the table above, I simply did the following:

> fm2 <- lm(tlimth ~ sex * ethnicty, data = tli)
> print(xtable(anova(fm2)), type="html")

and then pasted the HTML it generated straight into this blog post. I also tweaked the border="1" table directive to border="0" — if you have a decent Web editor you could pretty the table up further to your heart’s desire.

You can find more examples of xtable in action in the package vignette.

xtable package: vignette


To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: ,

Comments are closed.


Mango solutions

RStudio homepage

Zero Inflated Models and Generalized Linear Mixed Models with R

Dommino data lab

Quantide: statistical consulting and training



CRC R books series

Six Sigma Online Training

Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)