CRAN/E | knitr

knitr

A General-Purpose Package for Dynamic Report Generation in R

Installation

About

Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.

Citation knitr citation info
yihui.org/knitr/
System requirements Package vignettes based on R Markdown v2 or reStructuredText require Pandoc (http://pandoc.org). The function rst2pdf() requires rst2pdf (https://github.com/rst2pdf/rst2pdf).
Bug report File report

Key Metrics

Version 1.47
R ≥ 3.3.0
Published 2024-05-29 51 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks knitr results

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Maintainer

Maintainer

Yihui Xie

Authors

Yihui Xie

aut / cre

Abhraneel Sarma

ctb

Adam Vogt

ctb

Alastair Andrew

ctb

Alex Zvoleff

ctb

Amar Al-Zubaidi

ctb

Andre Simon

ctb

(the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de)

Aron Atkins

ctb

Aaron Wolen

ctb

Ashley Manton

ctb

Atsushi Yasumoto

ctb

Ben Baumer

ctb

Brian Diggs

ctb

Brian Zhang

ctb

Bulat Yapparov

ctb

Cassio Pereira

ctb

Christophe Dervieux

ctb

David Hall

ctb

David Hugh-Jones

ctb

David Robinson

ctb

Doug Hemken

ctb

Duncan Murdoch

ctb

Elio Campitelli

ctb

Ellis Hughes

ctb

Emily Riederer

ctb

Fabian Hirschmann

ctb

Fitch Simeon

ctb

Forest Fang

ctb

Frank E Harrell Jr

ctb

(the Sweavel package at inst/misc/Sweavel.sty)

Garrick Aden-Buie

ctb

Gregoire Detrez

ctb

Hadley Wickham

ctb

Hao Zhu

ctb

Heewon Jeon

ctb

Henrik Bengtsson

ctb

Hiroaki Yutani

ctb

Ian Lyttle

ctb

Hodges Daniel

ctb

Jacob Bien

ctb

Jake Burkhead

ctb

James Manton

ctb

Jared Lander

ctb

Jason Punyon

ctb

Javier Luraschi

ctb

Jeff Arnold

ctb

Jenny Bryan

ctb

Jeremy Ashkenas

ctb / cph

(the CSS file at inst/misc/docco-classic.css)

Jeremy Stephens

ctb

Jim Hester

ctb

Joe Cheng

ctb

Johannes Ranke

ctb

John Honaker

ctb

John Muschelli

ctb

Jonathan Keane

ctb

JJ Allaire

ctb

Johan Toloe

ctb

Jonathan Sidi

ctb

Joseph Larmarange

ctb

Julien Barnier

ctb

Kaiyin Zhong

ctb

Kamil Slowikowski

ctb

Karl Forner

ctb

Kevin K. Smith

ctb

Kirill Mueller

ctb

Kohske Takahashi

ctb

Lorenz Walthert

ctb

Lucas Gallindo

ctb

Marius Hofert

ctb

Martin Modrák

ctb

Michael Chirico

ctb

Michael Friendly

ctb

Michal Bojanowski

ctb

Michel Kuhlmann

ctb

Miller Patrick

ctb

Nacho Caballero

ctb

Nick Salkowski

ctb

Niels Richard Hansen

ctb

Noam Ross

ctb

Obada Mahdi

ctb

Pavel N. Krivitsky

ctb

Pedro Faria

ctb

Qiang Li

ctb

Ramnath Vaidyanathan

ctb

Richard Cotton

ctb

Robert Krzyzanowski

ctb

Rodrigo Copetti

ctb

Romain Francois

ctb

Ruaridh Williamson

ctb

Sagiru Mati

ctb

Scott Kostyshak

ctb

Sebastian Meyer

ctb

Sietse Brouwer

ctb

Simon de Bernard

ctb

Sylvain Rousseau

ctb

Taiyun Wei

ctb

Thibaut Assus

ctb

Thibaut Lamadon

ctb

Thomas Leeper

ctb

Tim Mastny

ctb

Tom Torsney-Weir

ctb

Trevor Davis

ctb

Viktoras Veitas

ctb

Weicheng Zhu

ctb

Wush Wu

ctb

Zachary Foster

ctb

Zhian N. Kamvar

ctb

Posit Software
PBC

cph / fnd

Material

NEWS
Reference manual
Package source

In Views

ReproducibleResearch

Vignettes

R Markdown with the Docco Classic Style
R Markdown with the Docco Linear Style
knitr Reference Card
Display Tables with the JavaScript Library DataTables
Templating with knit_expand()
Custom Print Methods
An R HTML Vignette with knitr
Not an Introduction to knitr
An R Markdown Vignette with knitr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

knitr archive

Depends

R ≥ 3.3.0

Imports

evaluate ≥ 0.15
highr ≥ 0.11
methods
tools
xfun ≥0.44
yaml ≥ 2.1.19

Suggests

bslib
codetools
DBI ≥ 0.4-1
digest
formatR
gifski
gridSVG
htmlwidgets ≥ 0.7
jpeg
JuliaCall ≥ 0.11.1
magick
markdown ≥ 1.3
png
ragg
reticulate ≥ 1.4
rgl ≥ 0.95.1201
rlang
rmarkdown
sass
showtext
styler ≥1.2.0
targets ≥ 0.6.0
testit
tibble
tikzDevice ≥0.10
tinytex ≥ 0.46
webshot
rstudioapi
svglite

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(warning: might lead to performance issues and take some time)

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Reverse Enhances

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