and pander can be also very useful inside of knitr.survival, microbenchmark, zoo, nlme, descr, MASS packages includes some supported R classes,.lattice and ggplot2 for unified plot theme,.koRpus to use hyphenation when splitting large table cells,.Rcpp to compile certain functions used by the package.Īnd there are also a few optional suggested or supported R packages, such as:.digest to compute hashes while caching,.Dependenciesįew cool packages from CRAN are needed for installing and/or using pander: If you're running R on Windows, you need to install Rtools. Or download the sources and build manually. It can be installed easily with the nifty function of the devtools package from CRAN: library(devtools) It's currently hosted on GitHub, and the current build status is: On the other hand, I welcome everyone to use the most recent version of the package with quick-fixes, new features and probably new bugs. The stable version can be found on CRAN and can be installed easily in the R console like any other package: install.packages( 'pander') Regarding the difference between pander and other packages for exporting R objects to different file formats, please refer to this section. The package is also capable of exporting/converting complex Pandoc documents (reports) in various ways. The main aim of the pander R package is to provide a minimal and easy tool for rendering R objects into Pandoc's markdown.
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