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Yesterday, I was creating a knitr
document based on a script, and was looking for a way to include content from an R help file. The script, which was a teaching document, had a help()
command for when the author wanted to refer readers to R documentation. I wanted that text in my final document, though.
There’s no standard way to do this in R, but with some help from Stack Overflow and Scott Chamberlain, I figured out I needed some functions hidden in the depths of the tools
package. So I wrote this function:
help_console <- function(topic, format=c("text", "html", "latex", "Rd"), lines=NULL, before=NULL, after=NULL) { format=match.arg(format) if (!is.character(topic)) topic <- deparse(substitute(topic)) helpfile = utils:::.getHelpFile(help(topic)) hs <- capture.output(switch(format, text=tools:::Rd2txt(helpfile), html=tools:::Rd2HTML(helpfile), latex=tools:::Rd2latex(helpfile), Rd=tools:::prepare_Rd(helpfile) ) ) if(!is.null(lines)) hs <- hs[lines] hs <- c(before, hs, after) cat(hs, sep="\n") invisible(hs) }
help_console
prints the help file to the console or lets you assign the help file text to a character. Below, I use it to dynamically print the start of the help file for the optim()
function as quoted HTML (note that the knitr
chunk has the option results='asis')
:
help_console(optim, "html", lines = 1:25, before = "<blockquote>", after = "</blockquote>")
< !DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">R: General-purpose Optimization < http-equiv="Content-Type" content="text/html; charset=utf-8">
optim R Documentation General-purpose Optimization
Description
General-purpose optimization based on Nelder–Mead, quasi-Newton and conjugate-gradient algorithms. It includes an option for box-constrained optimization and simulated annealing.
Usage
optim(par, fn, gr = NULL, …, method = c(“Nelder-Mead”, “BFGS”, “CG”, “L-BFGS-B”, “SANN”, “Brent”), lower = -Inf, upper = Inf, control = list(), hessian = FALSE)
The function is part of my noamtools
package on GitHub, where I keep various convenience functions. Enjoy, and fork if you have improvements!
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