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.

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)
Published: 2017-04-16
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb at braju.com>
BugReports: https://github.com/HenrikBengtsson/R.rsp/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://github.com/HenrikBengtsson/R.rsp
NeedsCompilation: no
Materials: NEWS
In views: ReproducibleResearch
CRAN checks: R.rsp results


Reference manual: R.rsp.pdf
Vignettes: R packages: Static PDF and HTML vignettes
R packages: LaTeX vignettes
Dynamic document creation using RSP
RSP: A Brief Introduction
RSP Markup Language - Reference Card
R packages: RSP vignettes
R packages: Vignettes prior to R 3.0.0
Package source: R.rsp_0.41.0.tar.gz
Windows binaries: r-devel: R.rsp_0.41.0.zip, r-release: R.rsp_0.41.0.zip, r-oldrel: R.rsp_0.41.0.zip
OS X El Capitan binaries: r-release: R.rsp_0.41.0.tgz
OS X Mavericks binaries: r-oldrel: R.rsp_0.41.0.tgz
Old sources: R.rsp archive

Reverse dependencies:

Reverse imports: aroma.core
Reverse suggests: AEDForecasting, AFLPsim, babar, babel, baitmet, bayesGDS, biglasso, bridgesampling, brms, brotli, brr, bst, bujar, causaleffect, comf, Compind, CryptRndTest, deBInfer, dggridR, DiffusionRgqd, DiffusionRimp, DiffusionRjgqd, doFuture, dynamichazard, easyVerification, ecp, enaR, EnsemblePCReg, erah, FLSSS, future, future.BatchJobs, FuzzyLP, FuzzyStatProb, GameTheory, gdm, generalCorr, GHap, gitlabr, haplo.stats, httk, IsoriX, joineRML, jsonlite, kdecopula, lexRankr, listenv, lmvar, lqmm, madness, manifestoR, marmap, MatchIt, matrixpls, matrixStats, metafor, metagear, metaplus, metaSEM, mets, MIAmaxent, micromapST, microPop, mpath, MRH, MXM, opencpu, OpenML, PAFit, pleio, plsRglm, PrevMap, profmem, PSCBS, Qtools, randomLCA, randomUniformForest, RAppArmor, rbi, rCAT, rccmisc, rcss, R.devices, RLumModel, rSARP, SemiCompRisks, SetRank, sgd, spam, SpatialEpiApp, spmoran, SRCS, ssfa, stagePop, STPGA, tailDepFun, timma, tsdisagg2, WACS, WCE


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