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.

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Description file content

Package
R.rsp
Version
0.41.0
Depends
R (>= 2.14.0)
Imports
methods, stats, tools, utils, R.methodsS3 (>= 1.7.1), R.oo (>= 1.21.0), R.utils, R.cache (>= 0.12.0)
Suggests
tcltk, digest (>= 0.6.10), ascii (>= 2.1), markdown (>= 0.7.7), knitr (>= 1.9), R.devices (>= 2.15.1), base64enc (>= 0.1-3)
SuggestsNote
Recommended: digest, R.devices, base64enc, markdown
VignetteBuilder
R.rsp
Date
2017-04-15
Title
Dynamic Generation of Scientific Reports
Author
Henrik Bengtsson [aut, cre, cph]
Maintainer
Henrik Bengtsson
Description
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.
License
LGPL (>= 2.1)
URL
BugReports
https://github.com/HenrikBengtsson/R.rsp/issues
LazyLoad
TRUE
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2017-04-15 22:34:54 UTC; hb
Repository
CRAN
Date/Publication
2017-04-16 10:23:40 UTC

install.packages('R.rsp')

0.41.0

6 months ago

https://github.com/HenrikBengtsson/R.rsp

Henrik Bengtsson

LGPL (>= 2.1)

Depends on

R (>= 2.14.0)

Imports

methods, stats, tools, utils, R.methodsS3 (>= 1.7.1), R.oo (>= 1.21.0), R.utils, R.cache (>= 0.12.0)

Suggests

tcltk, digest (>= 0.6.10), ascii (>= 2.1), markdown (>= 0.7.7), knitr (>= 1.9), R.devices (>= 2.15.1), base64enc (>= 0.1-3)

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