Ubuntu
r-cran-r.rsp package

r-cran-r.rsp 0.44.0+ds-1 source package in Ubuntu

Changelog

r-cran-r.rsp (0.44.0+ds-1) unstable; urgency=medium

  * Initial release (Closes: #1001023).

 -- Doug Torrance <email address hidden>  Fri, 03 Dec 2021 22:55:08 -0500

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Jammy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-r.rsp_0.44.0+ds-1.dsc 2.3 KiB 430138036a92086e4a78e8ba5d8a0a9b3c0125e55bb85776962b868249958dfa
r-cran-r.rsp_0.44.0+ds.orig.tar.xz 181.4 KiB 46529dded86e630057c9a729206192e4c2a10a386b477c6a4ff9de50c9897757
r-cran-r.rsp_0.44.0+ds-1.debian.tar.xz 4.5 KiB 9d6b81724d86948f557600a65bfe207b6cc886d203f0b2e36cbda62f09c1eeec

No changes file available.

Binary packages built by this source

r-cran-r.rsp: Dynamic Generation of Scientific Reports

 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.