parseRaw.RspParser

RspParser.parseRaw

parseRaw,RspParser-method

An <code><a rd-options="" href="/link/RspString?package=R.rsp&version=0.30.0" data-mini-rdoc="R.rsp::RspString">RspString</a></code> to be parsed.

object

A <code><a rd-options="base" href="/link/character?package=R.rsp&version=0.30.0&to=base" data-mini-rdoc="base::character">character</a></code> string specifying what type of RSP construct
    to parse for.

what

Specify the number of hypens in RSP comments
    to parse for.

commentLength

See <code><a rd-options="R.utils" href="/link/Verbose?package=R.rsp&version=0.30.0&to=R.utils" data-mini-rdoc="R.utils::Verbose">Verbose</a></code>.

verbose


 Parses the string into blocks of text and RSP.


methods

internal

The RSP markup language makes any text-based document come alive.  RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'.  Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries.  RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things.  Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'.  RSP is ideal for self-contained scientific reports and R package vignettes.  It's easy to use - if you know how to write an R script, you'll be up and running within minutes.

parseRaw.RspParser: Parses the string into blocks of text and RSP

Description

Usage

Arguments

Value

See Also