Featured post

Textbook: Writing for Statistics and Data Science

If you are looking for my textbook Writing for Statistics and Data Science here it is for free in the Open Educational Resource Commons. Wri...

Saturday, 17 January 2015

R Package Spotlight - xtable

xtable is an R package on CRAN that converts output into LaTeX code for a table of that output.

For writing papers, it has cut the time it takes to produce and manage a table by a factor of 3 or 4.



Here's some example code

## Install and load 
install.packages("xtable")
library(xtable)

## Get 10 random rows from the Iris dataset
data(iris)
set.seed(12345)
theseRows = sample(1:nrow(iris), 10)
theseRows = sort(theseRows)
dat = iris[theseRows,]

### Make a LaTeX table of the data and print to screen
xtable(dat)


...and you have a basic table. From there you can make edits to the table in LaTeX, but I recommend doing more formatting with xtable first. You specify some parameters in the call to xtable().

### Print the LaTeX table code with more precision and a caption
xtable(dat, digits=4, caption="Ten lines from Iris")

If you store the xtable object as a variable rather than printing it out right away, you can change or retrieve xtable parameters.


### Make a LaTeX table of the data and save as "xt"
xt = xtable(dat, digits=4, caption="Ten lines from Iris")

## Check the default column alignments
align(xt)

## Change the alignments and add a vertical break after the 3rd column
align(xt) = "clr|clr"

## Change the caption
caption(xt) = "Dinner menu for goats"



With a stored xtable object, you can specific a wider variety of parameters with print(). Note that the row names are considered to be the first column, so the LaTeX code that comes out of print(xt, ... ) will have lr|clr in its alignment specification, not clr|clr

print(xt, include.rownames=FALSE)

For more details, see the xtable reference manual on CRAN.

No comments:

Post a Comment