Ubuntu
r-cran-r.rsp package

r-cran-r.rsp 0.45.0+ds-1 source package in Ubuntu

Changelog

r-cran-r.rsp (0.45.0+ds-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Standards-Version: 4.6.1 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Thu, 30 Jun 2022 08:28:46 +0200

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
Mantic release universe misc
Lunar release universe misc

Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-r.rsp_0.45.0+ds-1.dsc 2.3 KiB ad7bfba249337ac40d63f342e0357ad0c4710ffed2cc3d98f337db20a864c02c
r-cran-r.rsp_0.45.0+ds.orig.tar.xz 181.9 KiB 66b96de0d2998916c1be8d42c8f28d2b96ed0b53918a688b9fb8fdce5d208657
r-cran-r.rsp_0.45.0+ds-1.debian.tar.xz 5.3 KiB 6ec49721abb0fa72f2cf56648d0729b3843be01e74578cd5a3ac42194af6a398

Available diffs

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.