Tag Archives: Reproducible Research

Installing Pandoc from R (on Windows) – using the {installr} package

The R blogger Rolf Fredheim has recently wrote a great piece called “Reproducible research with R, Knitr, Pandoc and Word“, where he advocates for Pandoc as an essential part of reproducible research workflow in R, in helping to turn documents which are knitted in R into high quality Word for exchanging with our colleagues. It is a great post, with many useful bits of code, and I wanted to supplement it with one missing function: “install.pandoc“.

Update: the install.pandoc function is now part of the {installr} package.

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{stargazer} package for beautiful LaTeX tables from R statistical models output

stargazer is a new R package that creates LaTeX code for well-formatted regression tables, with multiple models side-by-side, as well as for summary statistics tables. It can also output the content of data frames directly into LaTeX. Compared to available alternatives, stargazer excels in three regards:  its ease of use, the large number of models it supports, and its beautiful aesthetics.

Ease of use

stargazer was designed with the user’s comfort in mind. The learning curve is very mild and all arguments are very intuitive, so that even a beginning user of R or LaTeX can quickly become familiar with the package’s many capabilities. The package is intelligent, and tries to minimize the amount of effort the user has to put into adjusting argument values. If stargazer is given a set of regression model objects, for instance, the package will create a side-by-side regression table. By contrast, if the user feeds it a data frame, stargazer will know that the user is most likely looking for a summary statistics table or – if the summary argument is set to false – wants to output the content of the data frame.

A quick reproducible example shows just how easy stargazer is to use. You can install stargazer from CRAN in the usual way:

install.packages("stargazer")
library(stargazer)

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