Summary Function that is compatible with xtable

November 6, 2014

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

If you like to make nice looking documents using Latex, I highly recommend using the ‘xtable‘ package. In most instances, it works quite well for producing a reasonable looking table from an R object. I however recently wanted a LaTeX table from the ‘summary’ function in base R. So naturally I tried:

foo = rnorm(10)

Which gave me the following error:

Error in xtable.table(summary(foo)) :
  xtable.table is not implemented for tables of > 2 dimensions

So I decided to create a simple function that would return a dataframe which is easy to use with xtable. Here is what I came up with.


summaryfunction= function (x){
  if( is.numeric(x)!=TRUE) {stop("Supplied X is not numeric")}
  mysummary = data.frame(
            "Min." =as.numeric( min(x)),
            "1st Qu." = quantile(x)[2],
            "Median" = median(x),
            "Mean" = mean(x),
            "3rd Qu." = quantile(x)[4],
            "Max." = max(x),
  names(mysummary) = c("Min.","1st Qu.","Median","Mean","3rd Qu.","Max.")
  return( mysummary )

Now, when I try to use xtable I get the following output:

% latex table generated in R 3.1.1 by xtable 1.7-4 package
% Tue Nov 04 21:58:07 2014
 & Min. & 1st Qu. & Median & Mean & 3rd Qu. & Max. \
 & -1.27 & -0.53 & -0.08 & 0.07 & 0.38 & 1.72 \

This should lead to an easier way to incorporate more summaries when you are writing your paper, using R and Knitr of course. If you do use knitr, make sure to try the results = ‘asis’ option with xtable from R.

To leave a comment for the author, please follow the link and comment on their blog: Bearded Analytics » R. 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...

Comments are closed.

Search R-bloggers


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)