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
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).