Type:	Package
Title:	A General-Purpose Package for Dynamic Report Generation in R
Version:	1.50
Description:	Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Depends:	R (≥ 3.6.0)
Imports:	evaluate (≥ 0.15), highr (≥ 0.11), methods, tools, xfun (≥ 0.51), yaml (≥ 2.1.19)
Suggests:	bslib, codetools, DBI (≥ 0.4-1), digest, formatR, gifski, gridSVG, htmlwidgets (≥ 0.7), jpeg, JuliaCall (≥ 0.11.1), magick, litedown, 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 (≥ 0.56), webshot, rstudioapi, svglite
License:	GPL-2 | GPL-3 [expanded from: GPL]
URL:	https://yihui.org/knitr/
BugReports:	https://github.com/yihui/knitr/issues
Encoding:	UTF-8
VignetteBuilder:	litedown, knitr
SystemRequirements:	Package vignettes based on R Markdown v2 or reStructuredText require Pandoc (http://pandoc.org). The function rst2pdf() requires rst2pdf (https://github.com/rst2pdf/rst2pdf).
Collate:	'block.R' 'cache.R' 'citation.R' 'hooks-html.R' 'plot.R' 'utils.R' 'defaults.R' 'concordance.R' 'engine.R' 'highlight.R' 'themes.R' 'header.R' 'hooks-asciidoc.R' 'hooks-chunk.R' 'hooks-extra.R' 'hooks-latex.R' 'hooks-md.R' 'hooks-rst.R' 'hooks-textile.R' 'hooks.R' 'output.R' 'package.R' 'pandoc.R' 'params.R' 'parser.R' 'pattern.R' 'rocco.R' 'spin.R' 'table.R' 'template.R' 'utils-conversion.R' 'utils-rd2html.R' 'utils-string.R' 'utils-sweave.R' 'utils-upload.R' 'utils-vignettes.R' 'zzz.R'
RoxygenNote:	7.3.2
NeedsCompilation:	no
Packaged:	2025-03-15 00:17:19 UTC; runner
Author:	Yihui Xie [aut, cre] (URL: https://yihui.org), 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]
Maintainer:	Yihui Xie <xie@yihui.name>
Repository:	CRAN
Date/Publication:	2025-03-16 09:20:02 UTC

A general-purpose tool for dynamic report generation in R

Description

The knitr package is an implementation of Literate Programming, a programming paradigm that intermingle code chunks (for computing) with prose (for documentation) in the same document.

Details

When the document is compiled, the code chunks can be executed, and the results from computing (text or graphics) are automatically written to the output along with the prose.

This package is an alternative tool to Sweave with a more flexible design and new features like caching and finer control of graphics. It is not limited to LaTeX and is ready to be customized to process other file formats. See the package website in the references for more information and examples.

Note

The pronunciation of knitr is similar to neater or you can think of knitter (but it is single t). The name comes from knit + R (while Sweave = S + weave).

Author(s)

Yihui Xie <https://yihui.org>

References

Full documentation and demos: https://yihui.org/knitr/; FAQ's: https://yihui.org/knitr/faq/

See Also

The core function in this package: knit. If you are an Sweave user, see Sweave2knitr on how to convert Sweave files to knitr.

Get all chunk labels in a document

Description

The function all_labels() returns all chunk labels as a character vector. Optionally, you can specify a series of conditions to filter the labels. The function 'all_rcpp_labels()' is a wrapper function for all_labels(engine == 'Rcpp').

Usage

all_labels(...)

all_rcpp_labels(...)

Arguments

Details

For example, suppose the condition expression is engine == 'Rcpp', the object engine is the local chunk option engine. If an expression fails to be evaluated (e.g. when a certain object does not exist), FALSE is returned and the label for this chunk will be filtered out.

Value

A character vector.

Note

Empty code chunks are always ignored, including those chunks that are empty in the original document but filled with code using chunk options such as ref.label or code.

Examples

# the examples below are meaningless unless you put them in a knitr document
all_labels()
all_labels(engine == "Rcpp")
all_labels(echo == FALSE && results != "hide")
# or separate the two conditions
all_labels(echo == FALSE, results != "hide")

All built-in patterns

Description

This object is a named list of all built-in patterns.

Usage

all_patterns

Format

An object of class list of length 8.

References

Usage: https://yihui.org/knitr/patterns/

See Also

knit_patterns

Examples

all_patterns$rnw
all_patterns$html

str(all_patterns)

Mark an R object with a special class

Description

This is a convenience function that assigns the input object a class named knit_asis, so that knitr will treat it as is (the effect is the same as the chunk option results = 'asis') when it is written to the output.

Usage

asis_output(x, meta = NULL, cacheable = NA)

Arguments

Details

This function is normally used in a custom S3 method based on the printing function knit_print().

For the cacheable argument, you need to be careful when printing the object involves non-trivial side effects, in which case it is strongly recommended to use cacheable = FALSE to instruct knitr that this object should not be cached using the chunk option cache = TRUE, otherwise the side effects will be lost the next time the chunk is knitted. For example, printing a shiny input element or an HTML widget in an R Markdown document may involve registering metadata about some JavaScript libraries or stylesheets, and the metadata may be lost if we cache the code chunk, because the code evaluation will be skipped the next time. This particular issue has been solved in knitr after v1.13 (the metadata will be saved and loaded automatically when caching is enabled), but not all metadata can be saved and loaded next time and still works in the new R session.

Note

This function only works in top-level R expressions, and it will not work when it is called inside another expression, such as a for-loop. See https://github.com/yihui/knitr/issues/1137 for a discussion.

Examples

# see ?knit_print

Cache engines of other languages

Description

This object controls how to load cached environments from languages other than R (when the chunk option engine is not 'R'). Each component in this object is a function that takes the current path to the chunk cache and loads it into the language environment.

Usage

cache_engines

Format

An object of class list of length 7.

Details

The cache engine function has one argument options, a list containing all chunk options. Note that options$hash is the path to the current chunk cache with the chunk's hash, but without any file extension, and the language engine may write a cache database to this path (with an extension).

The cache engine function should load the cache environment and should know the extension appropriate for the language.

References

See https://github.com/rstudio/reticulate/pull/167 for an implementation of a cache engine for Python.

Clean cache files that are probably no longer needed

Description

If you remove or rename some cached code chunks, their original cache files will not be automatically cleaned. You can use this function to identify these possible files, and clean them if you are sure they are no longer needed.

Usage

clean_cache(clean = FALSE, path = opts_chunk$get("cache.path"))

Arguments

Note

The identification is not guaranteed to be correct, especially when multiple documents share the same cache directory. You are recommended to call clean_cache(FALSE) and carefully check the list of files (if any) before you really delete them (clean_cache(TRUE)).

This function must be called within a code chunk in a source document, since it needs to know all chunk labels of the current document to determine which labels are no longer present, and delete cache corresponding to these labels.

Combine multiple words into a single string

Description

This is a wrapper function of xfun::join_words().

Usage

combine_words(...)

Arguments

Convert the in-header chunk option syntax to the in-body syntax

Description

This is a helper function for moving chunk options from the chunk header to the chunk body using the new syntax.

Usage

convert_chunk_header(
  input,
  output = NULL,
  type = c("multiline", "wrap", "yaml"),
  width = 0.9 * getOption("width")
)

Arguments

Value

A character vector of converted input when output = NULL. The output file path with converted content otherwise.

About knitr option syntax

Historical chunk option syntax have chunk option in the chunk header using valid R syntax. This is an example for ⁠.Rmd⁠ document

```{r, echo = FALSE, fig.width: 10}
```

New syntax allows to pass option inside the chunk using several variants

• Passing options one per line using valid R syntax. This corresponds to convert_chunk_header(type = "multiline").

  ```{r}
  #| echo = FALSE,
  #| fig.width = 10
  ```
  

• Passing option part from header in-chunk with several line if wrapping is needed. This corresponds to convert_chunk_header(type = "wrap")

  ```{r}
  #| echo = FALSE, fig.width = 10
  ```
  

• Passing options key value pairs in-chunk using YAML syntax. Values are no more R expression but valid YAML syntax. This corresponds to convert_chunk_header(type = "yaml") (not implement yet).

  ```{r}
  #| echo: false,
  #| fig.width: 10
  ```
  

Note

Learn more about the new chunk option syntax in https://yihui.org/en/2022/01/knitr-news/

Examples

knitr_example = function(...) system.file("examples", ..., package = "knitr")
# Convert a document for multiline type
convert_chunk_header(knitr_example("knitr-minimal.Rmd"))
# Convert a document for wrap type
convert_chunk_header(knitr_example("knitr-minimal.Rmd"), type = "wrap")
# Reduce default wrapping width
convert_chunk_header(knitr_example("knitr-minimal.Rmd"), type = "wrap", width = 0.6 *
    getOption("width"))
## Not run: 
# Explicitly name the output
convert_chunk_header("test.Rmd", output = "test2.Rmd")
# Overwrite the input
convert_chunk_header("test.Rmd", output = identity)
# Use a custom function to name the output
convert_chunk_header("test.Rmd", output = \(f) sprintf("%s-new.%s",
    xfun::sans_ext(f), xfun::file_ext(f)))

## End(Not run)

Query the current input filename

Description

Returns the name of the input file passed to knit().

Usage

current_input(dir = FALSE)

Arguments

Value

A character string, if this function is called inside an input document. Otherwise NULL.

Build automatic dependencies among chunks

Description

When the chunk option autodep = TRUE, all names of objects created in a chunk will be saved in a file named ‘__objects’ and all global objects used in a chunk will be saved to ‘__globals’. This function can analyze object names in these files to automatically build cache dependencies, which is similar to the effect of the dependson option. It is supposed to be used in the first chunk of a document and this chunk must not be cached.

Usage

dep_auto(path = opts_chunk$get("cache.path"), labels = all_labels())

Arguments

Value

NULL. The dependencies are built as a side effect.

Note

Be cautious about path: because this function is used in a chunk, the working directory when the chunk is evaluated is the directory of the input document in knit, and if that directory differs from the working directory before calling knit(), you need to adjust the path argument here to make sure this function can find the cache files ‘__objects’ and ‘__globals’.

References

https://yihui.org/knitr/demo/cache/

See Also

dep_prev

Make later chunks depend on previous chunks

Description

This function can be used to build dependencies among chunks so that all later chunks depend on previous chunks, i.e. whenever the cache of a previous chunk is updated, the cache of all its later chunks will be updated.

Usage

dep_prev()

Value

NULL; the internal dependency structure is updated as a side effect.

References

https://yihui.org/knitr/demo/cache/

See Also

dep_auto

Download an image from the web and include it in a document

Description

When including images in non-HTML output formats such as LaTeX/PDF, URLs will not work as image paths. In this case, we have to download the images. This function is a wrapper of xfun::download_file() and include_graphics().

Usage

download_image(
  url,
  path = xfun::url_filename(url),
  use_file = !pandoc_to("html"),
  ...
)

Arguments

Examples

knitr::download_image("https://www.r-project.org/Rlogo.png")

An output wrapper for language engine output

Description

If you have designed a language engine, you may call this function in the end to format and return the text output from your engine.

Usage

engine_output(options, code, out, extra = NULL)

Arguments

Details

For expert users, an advanced usage of this function is engine_output(options, out = LIST) where LIST is a list that has the same structure as the output of evaluate::evaluate(). In this case, the arguments code and extra are ignored, and the list is passed to knitr::sew() to return a character vector of final output.

Value

A character string generated from the source code and output using the appropriate output hooks.

Examples

library(knitr)
engine_output(opts_chunk$merge(list(engine = "Rscript")),
    code = "1 + 1", out = "[1] 2")
engine_output(opts_chunk$merge(list(echo = FALSE, engine = "Rscript")),
    code = "1 + 1", out = "[1] 2")

# expert use only
engine_output(opts_chunk$merge(list(engine = "python")),
    out = list(structure(list(src = "1 + 1"), class = "source"),
        "2"))

Mark character strings as raw output that should not be converted

Description

These functions provide a mechanism to protect the character output of R code chunks. The output is annotated with special markers in raw_output; extract_raw_output() will extract raw output wrapped in the markers, and replace the raw output with its MD5 digest; restore_raw_output() will restore the MD5 digest with the original raw output.

Usage

extract_raw_output(text, markers = raw_markers)

restore_raw_output(text, chunks, markers = raw_markers)

raw_output(x, markers = raw_markers, ...)

Arguments

Details

This mechanism is designed primarily for R Markdown pre/post-processors. In an R code chunk, you generate raw_output() to the Markdown output. In the pre-processor, you can extract_raw_output() from the Markdown file, store the raw output and MD5 digests, and remove the actual raw output from Markdown so Pandoc will never see it. In the post-processor, you can read the Pandoc output (e.g., an HTML or RTF file), and restore the raw output.

Value

For extract_raw_output(), a list of two components: value (the text with raw output replaced by MD5 digests) and chunks (a named character vector, of which the names are MD5 digests and values are the raw output). For restore_raw_output(), the restored text.

Examples

library(knitr)
out = c("*hello*", raw_output("<special>content</special> *protect* me!"),
    "*world*")
pre = extract_raw_output(out)
str(pre)
pre$value = gsub("[*]([^*]+)[*]", "<em>\\1</em>",
    pre$value)  # think this as Pandoc conversion
pre$value
# raw output was protected from the conversion
# (e.g. *protect* was not converted)
restore_raw_output(pre$value, pre$chunks)

Obtain the figure filenames for a chunk

Description

Given a chunk label, the figure file extension, the figure number(s), and the chunk option fig.path, return the filename(s).

Usage

fig_chunk(label, ext = "", number, fig.path = opts_chunk$get("fig.path"))

Arguments

Details

This function can be used in an inline R expression to write out the figure filenames without hard-coding them. For example, if you created a plot in a code chunk with the label foo and figure path ‘my-figure/’, you are not recommended to use hard-coded figure paths like ‘⁠\includegraphics{my-figure/foo-1.pdf}⁠’ (in ‘.Rnw’ documents) or ‘⁠⁠’ (R Markdown) in your document. Instead, you should use ‘⁠\Sexpr{fig_chunk('foo', 'pdf')}⁠’ or ‘⁠`)⁠’.

You can generate plots in a code chunk but not show them inside the code chunk by using the chunk option fig.show = 'hide'. Then you can use this function if you want to show them elsewhere.

Value

A character vector of filenames.

Examples

library(knitr)
fig_chunk("foo", "png")
fig_chunk("foo", "pdf")
fig_chunk("foo", "svg", 2)  # the second plot of the chunk foo
fig_chunk("foo", "png", 1:5)  # if the chunk foo produced 5 plots

Path for figure files

Description

The filename of figure files is the combination of options fig.path and label. This function returns the path of figures for the current chunk by default.

Usage

fig_path(suffix = "", options = opts_current$get(), number)

Arguments

Value

A character vector of the form ‘fig.path-label-i.suffix’.

Note

When there are special characters (not alphanumeric or ‘⁠-⁠’ or ‘⁠_⁠’) in the path, they will be automatically replaced with ‘⁠_⁠’. For example, ‘a b/c.d-’ will be sanitized to ‘a_b/c_d-’. This makes the filenames safe to LaTeX.

Examples

fig_path(".pdf", options = list(fig.path = "figure/abc-", label = "first-plot"))
fig_path(".png", list(fig.path = "foo-", label = "bar"), 1:10)

Hooks to create animations in HTML output

Description

hook_ffmpeg_html() uses FFmpeg to convert images to a video; hook_gifski() uses the gifski to convert images to a GIF animation; hook_scianimator() uses the JavaScript library SciAnimator to create animations; hook_r2swf() uses the R2SWF package.

Usage

hook_ffmpeg_html(x, options)

hook_gifski(x, options)

hook_scianimator(x, options)

hook_r2swf(x, options)

Arguments

Details

These hooks are mainly for the package option animation.fun, e.g. you can set opts_knit$set(animation.fun = hook_scianimator).

Some potentially useful document hooks

Description

A document hook is a function to post-process the output document.

Usage

hook_movecode(x)

Arguments

Details

hook_movecode() is a document hook to move code chunks out of LaTeX floating environments like ‘⁠figure⁠’ and ‘⁠table⁠’ when the chunks were actually written inside the floats. This function is primarily designed for LyX: we often insert code chunks into floats to generate figures or tables, but in the final output we do not want the code to float with the environments, so we use regular expressions to find out the floating environments, extract the code chunks and move them out. To disable this behavior, use a comment % knitr_do_not_move in the floating environment.

Value

The post-processed document as a character string.

Note

These functions are hackish. Also note hook_movecode() assumes you to use the default output hooks for LaTeX (not Sweave or listings), and every figure/table environment must have a label.

References

https://yihui.org/knitr/hooks/

Examples

## Not run: 
knit_hooks$set(document = hook_movecode)

## End(Not run)
# see example 103 at https://github.com/yihui/knitr-examples

Built-in chunk hooks to extend knitr

Description

Hook functions are called when the corresponding chunk options are not NULL to do additional jobs beside the R code in chunks. This package provides a few useful hooks, which can also serve as examples of how to define chunk hooks in knitr.

Usage

hook_pdfcrop(before, ...)

hook_optipng(...)

hook_pngquant(...)

hook_mogrify(...)

hook_plot_custom(before, options, envir)

hook_purl(before, options, ...)

Arguments

Details

The function hook_pdfcrop() calls plot_crop() to crop the white margins of PDF plots.

The function hook_optipng() calls the program optipng to optimize PNG images. Note the chunk option optipng can be used to provide additional parameters to the program optipng, e.g. optipng = '-o7'.

The function hook_pngquant() calls the program pngquant to optimize PNG images. Note the chunk option pngquant can be used to provide additional parameters to the program pngquant, e.g. pngquant = '--speed=1 --quality=0-50'.

The function hook_mogrify() calls the program mogrify. Note the chunk option mogrify can be used to provide additional parameters to the program mogrify (with default -trim to trim PNG files).

When the plots are not recordable via grDevices::recordPlot() and we save the plots to files manually via other functions (e.g. rgl plots), we can use the chunk hook hook_plot_custom to help write code for graphics output into the output document.

The hook hook_purl() can be used to write the code chunks to an R script. It is an alternative approach to purl, and can be more reliable when the code chunks depend on the execution of them (e.g. read_chunk(), or opts_chunk$set(eval = FALSE)). To enable this hook, it is recommended to associate it with the chunk option purl, i.e. knit_hooks$set(purl = hook_purl). When this hook is enabled, an R script will be written while the input document is being knit. Currently the code chunks that are not R code or have the chunk option purl=FALSE are ignored. Please note when the cache is turned on (the chunk option cache = TRUE), no chunk hooks will be executed, hence hook_purl() will not work, either. To solve this problem, we need cache = 2 instead of TRUE (see https://yihui.org/knitr/demo/cache/ for the meaning of cache = 2).

Note

The two hook functions hook_rgl() and hook_webgl() were moved from knitr to the rgl package (>= v0.95.1247) after knitr v1.10.5, and you can library(rgl) to get them.

References

https://yihui.org/knitr/hooks/#chunk-hooks

See Also

rgl::rgl.snapshot, rgl::rgl.postscript, rgl::hook_rgl, rgl::hook_webgl

Examples

if (require("rgl") && exists("hook_rgl")) knit_hooks$set(rgl = hook_rgl)
# then in code chunks, use the option rgl=TRUE

Default plot hooks for different output formats

Description

These hook functions define how to mark up graphics output in different output formats.

Usage

hook_plot_html(x, options)

hook_plot_asciidoc(x, options)

hook_plot_tex(x, options)

hook_plot_md(x, options)

hook_plot_rst(x, options)

hook_plot_textile(x, options)

Arguments

Details

Depending on the options passed over, hook_plot_tex may return the normal ‘⁠\includegraphics{}⁠’ command, or ‘⁠\input{}⁠’ (for tikz files), or ‘⁠\animategraphics{}⁠’ (for animations); it also takes many other options into consideration to align plots and set figure sizes, etc. Similarly, hook_plot_html, hook_plot_md and hook_plot_rst return character strings which are HTML, Markdown, reST code.

In most cases we do not need to call these hooks explicitly, and they were designed to be used internally. Sometimes we may not be able to record R plots using grDevices::recordPlot(), and we can make use of these hooks to insert graphics output in the output document; see hook_plot_custom for details.

Value

A character string of code, with plot filenames wrapped.

References

https://yihui.org/knitr/hooks/

See Also

hook_plot_custom

Examples

# this is what happens for a chunk like this

# <<foo-bar-plot, dev='pdf', fig.align='right'>>=
hook_plot_tex("foo-bar-plot.pdf", opts_chunk$merge(list(fig.align = "right")))

# <<bar, dev='tikz'>>=
hook_plot_tex("bar.tikz", opts_chunk$merge(list(dev = "tikz")))

# <<foo, dev='pdf', fig.show='animate', interval=.1>>=

# 5 plots are generated in this chunk
hook_plot_tex("foo5.pdf", opts_chunk$merge(list(fig.show = "animate", interval = 0.1,
    fig.cur = 5, fig.num = 5)))

Encode an image file to a data URI

Description

This function is the same as xfun::base64_uri() (only with a different function name). It can encode an image file as a base64 string, which can be used in the img tag in HTML.

Usage

image_uri(f)

Arguments

Value

The data URI as a character string.

Author(s)

Wush Wu and Yihui Xie

References

https://en.wikipedia.org/wiki/Data_URI_scheme

Examples

uri = image_uri(file.path(R.home("doc"), "html", "logo.jpg"))
if (interactive()) {
    cat(sprintf("<img src=\"%s\" />", uri), file = "logo.html")
    browseURL("logo.html")  # you can check its HTML source
}

Upload an image to imgur.com

Description

This function is an alias to xfun::upload_imgur(). It is kept in knitr only for backward-compatibility reasons. You are recommended to use xfun::upload_imgur() directly instead.

Usage

imgur_upload(file, key = xfun::env_option("knitr.imgur.key"), ...)

Arguments

Embed external images in knitr documents

Description

When plots are not generated from R code, there is no way for knitr to capture plots automatically. In this case, you may generate the images manually and pass their file paths to this function to include them in the output. The major advantage of using this function is that it is portable in the sense that it works for all document formats that knitr supports, so you do not need to think if you have to use, for example, LaTeX or Markdown syntax, to embed an external image. Chunk options related to graphics output that work for normal R plots also work for these images, such as out.width and out.height.

Usage

include_graphics(
  path,
  auto_pdf = getOption("knitr.graphics.auto_pdf", FALSE),
  dpi = NULL,
  rel_path = getOption("knitr.graphics.rel_path", TRUE),
  error = getOption("knitr.graphics.error", TRUE)
)

Arguments

Value

The same as the input character vector path but it is marked with special internal S3 classes so that knitr will convert the file paths to proper output code according to the output format.

Note

This function is supposed to be used in R code chunks or inline R code expressions. For local images, you are recommended to use relative paths with forward slashes instead of backslashes (e.g., ‘images/fig1.png’ instead of ‘/Users/me/code/images/fig1.png’).

The automatic calculation of the output width requires the png package (for PNG images) or the jpeg package (for JPEG images). The width will not be calculated if the chunk option out.width is already provided or dpi = NA.

Embed a URL as an HTML iframe or a screenshot in knitr documents

Description

When the output format is HTML, include_url() inserts an iframe in the output; otherwise it takes a screenshot of the URL and insert the image in the output. include_app() takes the URL of a Shiny app and adds ‘⁠?showcase=0⁠’ to it (to disable the showcase mode), then passes the URL to include_url().

Usage

include_url(url, height = "400px")

include_app(url, height = "400px")

Arguments

Value

An R object with a special class that knitr recognizes internally to generate the iframes or screenshots.

See Also

include_graphics

Wrap code using the inline R expression syntax

Description

This is a convenience function to write the "source code" of inline R expressions. For example, if you want to write ‘⁠`r 1+1`⁠’ literally in an R Markdown document, you may write ‘⁠`` `r knitr::inline_expr('1+1')` ``⁠’; for Rnw documents, this may be ‘⁠\verb|\Sexpr{knitr::inline_expr{'1+1'}}|⁠’.

Usage

inline_expr(code, syntax)

Arguments

Value

A character string marked up using the inline R code syntax.

Examples

library(knitr)
inline_expr("1+1", "rnw")
inline_expr("1+1", "html")
inline_expr("1+1", "md")

Check the current input and output type

Description

The function is_latex_output() returns TRUE when the output format is LaTeX; it works for both ‘.Rnw’ and R Markdown documents (for the latter, the two Pandoc formats latex and beamer are considered LaTeX output). The function is_html_output() only works for R Markdown documents and will test for several Pandoc HTML based output formats (by default, these formats are considered as HTML formats: c('markdown', 'epub', 'epub2', 'html', 'html4', 'html5', 'revealjs', 's5', 'slideous', 'slidy', 'gfm')).

Usage

is_latex_output()

is_html_output(fmt = pandoc_to(), excludes = NULL)

pandoc_to(fmt, exact = FALSE)

pandoc_from(exact = FALSE)

Arguments

Details

The function pandoc_to() returns the Pandoc output format, and pandoc_from() returns Pandoc input format. pandoc_to(fmt) allows to check the current output format against a set of format names. Both are to be used with R Markdown documents.

These functions may be useful for conditional output that depends on the output format. For example, you may write out a LaTeX table in an R Markdown document when the output format is LaTeX, and an HTML or Markdown table when the output format is HTML. Use pandoc_to(fmt) to test a more specific Pandoc format.

Internally, the Pandoc output format of the current R Markdown document is stored in knitr::opts_knit$get('rmarkdown.pandoc.to'), and the Pandoc input format in knitr::opts_knit$get('rmarkdown.pandoc.from')

Note

See available Pandoc formats, in Pandoc's Manual

Examples

# check for output formats type
knitr::is_latex_output()
knitr::is_html_output()
knitr::is_html_output(excludes = c("markdown", "epub"))
# Get current formats
knitr::pandoc_from()
knitr::pandoc_to()
# Test if current output format is 'docx'
knitr::pandoc_to("docx")

Compare two recorded plots

Description

Check if one plot only contains a low-level update of another plot.

Usage

is_low_change(p1, p2)

Arguments

Value

Logical value indicating whether p2 is a low-level update of p1.

Examples

pdf(NULL)
dev.control("enable")  # enable plot recording
plot(1:10)
p1 = recordPlot()
abline(0, 1)  # add a line (a low-level change)
p2 = recordPlot()
plot(rnorm(100))
p3 = recordPlot()  # draw a completely new plot
dev.off()
knitr::is_low_change(p1, p2)  # true
knitr::is_low_change(p1, p3)  # false

Create tables in LaTeX, HTML, Markdown and reStructuredText

Description

A very simple table generator, and it is simple by design. It is not intended to replace any other R packages for making tables. The kable() function returns a single table for a single data object, and returns a table that contains multiple tables if the input object is a list of data objects. The kables() function is similar to kable(x) when x is a list of data objects, but kables() accepts a list of kable() values directly instead of data objects (see examples below).

Usage

kable(
  x,
  format,
  digits = getOption("digits"),
  row.names = NA,
  col.names = NA,
  align,
  caption = opts_current$get("tab.cap"),
  label = NULL,
  format.args = list(),
  escape = TRUE,
  ...
)

kables(x, format, caption = NULL, label = NULL)

Arguments

Details

Missing values (NA) in the table are displayed as NA by default. If you want to display them with other characters, you can set the option knitr.kable.NA, e.g. options(knitr.kable.NA = '') to hide NA values.

You can set the option knitr.kable.max_rows to limit the number of rows to show in the table, e.g., options(knitr.kable.max_rows = 30).

Value

A character vector of the table source code.

Note

When using kable() as a top-level expression, you do not need to explicitly print() it due to R's automatic implicit printing. When it is wrapped inside other expressions (such as a for loop), you must explicitly print(kable(...)).

References

See https://bookdown.org/yihui/rmarkdown-cookbook/kable.html for some examples about this function, including specific arguments according to the format selected.

See Also

Other R packages such as huxtable, xtable, kableExtra, gt and tables for HTML and LaTeX tables, and ascii and pander for different flavors of markdown output and some advanced features and table styles. For more on other packages for creating tables, see https://bookdown.org/yihui/rmarkdown-cookbook/table-other.html.

Examples

d1 = head(iris)
d2 = head(mtcars)
# pipe tables by default
kable(d1)
kable(d2[, 1:5])
# no inner padding
kable(d2, format = "pipe", padding = 0)
# more padding
kable(d2, format = "pipe", padding = 2)
kable(d1, format = "latex")
kable(d1, format = "html")
kable(d1, format = "latex", caption = "Title of the table")
kable(d1, format = "html", caption = "Title of the table")
# use the booktabs package
kable(mtcars, format = "latex", booktabs = TRUE)
# use the longtable package
kable(matrix(1000, ncol = 5), format = "latex", digits = 2, longtable = TRUE)
# change LaTeX default table environment
kable(d1, format = "latex", caption = "My table", table.envir = "table*")
# add some table attributes
kable(d1, format = "html", table.attr = "id=\"mytable\"")
# reST output
kable(d2, format = "rst")
# no row names
kable(d2, format = "rst", row.names = FALSE)
# Pandoc simple tables
kable(d2, format = "simple", caption = "Title of the table")
# format numbers using , as decimal point, and ' as thousands separator
x = as.data.frame(matrix(rnorm(60, 1e+06, 10000), 10))
kable(x, format.args = list(decimal.mark = ",", big.mark = "'"))
# save the value
x = kable(d2, format = "html")
cat(x, sep = "\n")
# can also set options(knitr.table.format = 'html') so that the output is HTML

# multiple tables via either kable(list(x1, x2)) or kables(list(kable(x1),
# kable(x2)))
kable(list(d1, d2), caption = "A tale of two tables")
kables(list(kable(d1, align = "l"), kable(d2)), caption = "A tale of two tables")

Knit a document

Description

This function takes an input file, extracts the R code in it according to a list of patterns, evaluates the code and writes the output in another file. It can also tangle R source code from the input document (purl() is a wrapper to knit(..., tangle = TRUE)). The knitr.purl.inline option can be used to also tangle the code of inline expressions (disabled by default).

Usage

knit(
  input,
  output = NULL,
  tangle = FALSE,
  text = NULL,
  quiet = FALSE,
  envir = parent.frame(),
  encoding = "UTF-8"
)

purl(..., documentation = 1L)

Arguments

Details

For most of the time, it is not necessary to set any options outside the input document; in other words, a single call like knit('my_input.Rnw') is usually enough. This function will try to determine many internal settings automatically. For the sake of reproducibility, it is better practice to include the options inside the input document (to be self-contained), instead of setting them before knitting the document.

First the filename of the output document is determined in this way: ‘foo.Rnw’ generates ‘foo.tex’, and other filename extensions like ‘.Rtex’, ‘.Rhtml’ (‘.Rhtm’) and ‘.Rmd’ (‘.Rmarkdown’) will generate ‘.tex’, ‘.html’ and ‘.md’ respectively. For other types of files, if the filename contains ‘⁠_knit_⁠’, this part will be removed in the output file, e.g., ‘foo_knit_.html’ creates the output ‘foo.html’; if ‘⁠_knit_⁠’ is not found in the filename, ‘foo.ext’ will produce ‘foo.txt’ if ext is not txt, otherwise the output is ‘foo-out.txt’. If tangle = TRUE, ‘foo.ext’ generates an R script ‘foo.R’.

We need a set of syntax to identify special markups for R code chunks and R options, etc. The syntax is defined in a pattern list. All built-in pattern lists can be found in all_patterns (call it apat). First knitr will try to decide the pattern list based on the filename extension of the input document, e.g. ‘⁠Rnw⁠’ files use the list apat$rnw, ‘⁠tex⁠’ uses the list apat$tex, ‘⁠brew⁠’ uses apat$brew and HTML files use apat$html; for unkown extensions, the content of the input document is matched against all pattern lists to automatically determine which pattern list is being used. You can also manually set the pattern list using the knit_patterns object or the pat_rnw series functions in advance and knitr will respect the setting.

According to the output format (opts_knit$get('out.format')), a set of output hooks will be set to mark up results from R (see render_latex). The output format can be LaTeX, Sweave and HTML, etc. The output hooks decide how to mark up the results (you can customize the hooks).

The name knit comes from its counterpart ‘⁠weave⁠’ (as in Sweave), and the name purl (as ‘⁠tangle⁠’ in Stangle) comes from a knitting method ‘knit one, purl one’.

If the input document has child documents, they will also be compiled recursively. See knit_child.

See the package website and manuals in the references to know more about knitr, including the full documentation of chunk options and demos, etc.

Value

The compiled document is written into the output file, and the path of the output file is returned. If the text argument is not NULL, the compiled output is returned as a character vector. In other words, if you provide a file input, you get an output filename; if you provide a character vector input, you get a character vector output.

Note

The working directory when evaluating R code chunks is the directory of the input document by default, so if the R code involves external files (like read.table()), it is better to put these files under the same directory of the input document so that we can use relative paths. However, it is possible to change this directory with the package option opts_knit$set(root.dir = ...) so all paths in code chunks are relative to this root.dir. It is not recommended to change the working directory via setwd() in a code chunk, because it may lead to terrible consequences (e.g. figure and cache files may be written to wrong places). If you do use setwd(), please note that knitr will always restore the working directory to the original one. Whenever you feel confused, print getwd() in a code chunk to see what the working directory really is.

If the output argument is a file path, it is strongly recommended to be in the current working directory (e.g. ‘foo.tex’ instead of ‘somewhere/foo.tex’), especially when the output has external dependencies such as figure files. If you want to write the output to a different directory, it is recommended to set the working directory to that directory before you knit a document. For example, if the source document is ‘foo.Rmd’ and the expected output is ‘out/foo.md’, you can write setwd('out/'); knit('../foo.Rmd') instead of knit('foo.Rmd', 'out/foo.md').

N.B. There is no guarantee that the R script generated by purl() can reproduce the computation done in knit(). The knit() process can be fairly complicated (special values for chunk options, custom chunk hooks, computing engines besides R, and the envir argument, etc). If you want to reproduce the computation in a report generated by knit(), be sure to use knit(), instead of merely executing the R script generated by purl(). This seems to be obvious, but some people do not get it.

References

Package homepage: https://yihui.org/knitr/. The knitr main manual: and graphics manual.

See citation('knitr') for the citation information.

Examples

library(knitr)
(f = system.file("examples", "knitr-minimal.Rnw", package = "knitr"))
knit(f)  # compile to tex

purl(f)  # tangle R code
purl(f, documentation = 0)  # extract R code only
purl(f, documentation = 2)  # also include documentation

unlink(c("knitr-minimal.tex", "knitr-minimal.R", "figure"), recursive = TRUE)

Knit a child document

Description

This function knits a child document and returns a character string to input the result into the main document. It is designed to be used in the chunk option child and serves as the alternative to the SweaveInput command in Sweave.

Usage

knit_child(..., options = NULL, envir = knit_global())

Arguments

Value

A character string of the content of the compiled child document is returned as a character string so it can be written back to the parent document directly.

Note

This function is not supposed be called directly like knit(); instead it must be placed in a parent document to let knit() call it indirectly.

The path of the child document is determined relative to the parent document.

References

https://yihui.org/knitr/demo/child/

Examples

# you can write \Sexpr{knit_child('child-doc.Rnw')} in an Rnw file 'main.Rnw'
# to input results from child-doc.Rnw in main.tex

# comment out the child doc by \Sexpr{knit_child('child-doc.Rnw', eval =
# FALSE)}

The code manager to manage code in all chunks

Description

This object provides methods to manage code (as character vectors) in all chunks in knitr source documents. For example, knitr::knit_code$get() returns a named list of all code chunks (the names are chunk labels), and knitr::knit_code$get('foo') returns the character vector of the code in the chunk with the label foo.

Usage

knit_code

Format

An object of class list of length 7.

Note

The methods on this object include the set() method (i.e., you could do something like knitr::knit_code$set(foo = "'my precious new code'")), but we recommend that you do not use this method to modify the content of code chunks, unless you are as creative as Emi Tanaka and know what you are doing.

Engines of other languages

Description

This object controls how to execute the code from languages other than R (when the chunk option engine is not 'R'). Each component in this object is a function that takes a list of current chunk options (including the source code) and returns a character string to be written into the output.

Usage

knit_engines

Format

An object of class list of length 7.

Details

The engine function has one argument options: the source code of the current chunk is in options$code. Usually we can call external programs to run the code via system2. Other chunk options are also contained in this argument, e.g. options$echo and options$eval, etc.

In most cases, options$engine can be directly used in command line to execute the code, e.g. python or ruby, but sometimes we may want to specify the path of the engine program, in which case we can pass it through the engine.path option. For example, engine='ruby', engine.path='/usr/bin/ruby1.9.1'. Additional command line arguments can be passed through options$engine.opts, e.g. engine='ruby', engine.opts='-v'.

See str(knitr::knit_engines$get()) for a list of built-in language engines.

Note

The Leiningen engine lein requires lein-exec plugin; see https://github.com/yihui/knitr/issues/1176 for details.

References

Usage: https://yihui.org/knitr/objects/; examples: https://yihui.org/knitr/demo/engines/

Examples

knit_engines$get("python")
knit_engines$get("awk")
names(knit_engines$get())

Exit knitting early

Description

Sometimes we may want to exit the knitting process early, and completely ignore the rest of the document. This function provides a mechanism to terminate knit().

Usage

knit_exit(append, fully = TRUE)

Arguments

Value

Invisible NULL. An internal signal is set up (as a side effect) to notify knit() to quit as if it had reached the end of the document.

Examples

# see https://github.com/yihui/knitr-examples/blob/master/096-knit-exit.Rmd

A simple macro preprocessor for templating purposes

Description

This function expands a template based on the R expressions in {{}} (this tag can be customized by the delim argument). These expressions are extracted, evaluated and replaced by their values in the original template.

Usage

knit_expand(file, ..., text = read_utf8(file), delim = c("{{", "}}"))

Arguments

Value

A character vector, with the tags evaluated and replaced by their values.

References

This function was inspired by the pyexpander and m4 (http://www.gnu.org/software/m4/), thanks to Frank Harrell.

Examples

# see the knit_expand vignette
if (interactive()) browseVignettes(package = "knitr")

Spell check filter for source documents

Description

When performing spell checking on source documents, we may need to skip R code chunks and inline R expressions, because many R functions and symbols are likely to be identified as typos. This function is designed for the filter argument of aspell() to filter out code chunks and inline expressions.

Usage

knit_filter(ifile, encoding = "UTF-8")

Arguments

Value

A character vector of the file content, excluding code chunks and inline expressions.

Examples

library(knitr)
knitr_example = function(...) system.file("examples", ..., package = "knitr")

if (Sys.which("aspell") != "") {
    # -t means the TeX mode
    utils::aspell(knitr_example("knitr-minimal.Rnw"), knit_filter, control = "-t")

    # -H is the HTML mode
    utils::aspell(knitr_example("knitr-minimal.Rmd"), knit_filter, control = "-H -t")
}

The global environment for evaluating code

Description

Get or set the environment in which code chunks are evaluated.

Usage

knit_global(envir = NULL)

Arguments

Hooks for R code chunks, inline R code and output

Description

A hook is a function of a pre-defined form (arguments) that takes values of arguments and returns desired output. The object knit_hooks is used to access or set hooks in this package.

Usage

knit_hooks

Format

An object of class list of length 7.

References

Usage: https://yihui.org/knitr/objects/

Components in knit_hooks: https://yihui.org/knitr/hooks/

Examples

knit_hooks$get("source")
knit_hooks$get("inline")

Metadata about objects to be printed

Description

As an object is printed, knitr will collect metadata about it (if available). After knitting is done, all the metadata is accessible via this function. You can manually add metadata to the knitr session via knit_meta_add().

Usage

knit_meta(class = NULL, clean = TRUE)

knit_meta_add(meta, label = "")

Arguments

Value

knit_meta() returns the matched metadata specified by class; knit_meta_add() returns all current metadata.

Extract knit parameters from a document

Description

This function reads the YAML front-matter section of a document and returns a list of any parameters declared there. This function exists primarily to support the parameterized reports feature of the rmarkdown package, however is also used by the knitr purl function to include the default parameter values in the R code it emits.

Usage

knit_params(text, evaluate = TRUE)

Arguments

Details

Parameters are included in YAML front matter using the params key. This key can have any number of subkeys each of which represents a parameter. For example:

---
title: My Document
output: html_document
params:
  frequency: 10
  show_details: true
---

Parameter values can be provided inline as illustrated above or can be included in a value sub-key. For example:

---
title: My Document
output: html_document
params:
  frequency:
    value: 10
---

This second form is useful when you need to provide additional details about the parameter (e.g. a label field as describe above).

You can also use R code to yield the value of a parameter by prefacing the value with !r, for example:

---
title: My Document
output: html_document
params:
  start: !r Sys.Date()
---

Value

List of objects of class knit_param that correspond to the parameters declared in the params section of the YAML front matter. These objects have the following fields:

name

The parameter name.

value

The default value for the parameter.

expr

The R expression (if any) that yielded the default value.

In addition, other fields included in the YAML may also be present alongside the name, type, and value fields (e.g. a label field that provides front-ends with a human readable name for the parameter).

Extract knit parameters from YAML text

Description

This function reads the YAML front-matter that has already been extracted from a document and returns a list of any parameters declared there.

Usage

knit_params_yaml(yaml, evaluate = TRUE)

Arguments

Value

List of objects of class knit_param that correspond to the parameters declared in the params section of the YAML. See knit_params for a full description of these objects.

See Also

knit_params

Patterns to match and extract R code in a document

Description

Patterns are regular expressions and will be used in functions like base::grep() to extract R code and chunk options. The object knit_patterns controls the patterns currently used; see the references and examples for usage. All built-in patterns are available in the list all_patterns.

Usage

knit_patterns

Format

An object of class list of length 7.

References

Usage: https://yihui.org/knitr/objects/

Components in knit_patterns: https://yihui.org/knitr/patterns/

See Also

all_patterns

Examples

library(knitr)
opat = knit_patterns$get()  # old pattern list (to restore later)

apats = all_patterns  # a list of all built-in patterns
str(apats)
knit_patterns$set(apats[["rnw"]])  # set pattern list from apats

knit_patterns$get(c("chunk.begin", "chunk.end", "inline.code"))

# a customized pattern list; has to empty the original patterns first!
knit_patterns$restore()
# we may want to use this in an HTML document
knit_patterns$set(list(chunk.begin = "<!--helloR\\s+(.*)", chunk.end = "^byeR-->"))
str(knit_patterns$get())

knit_patterns$set(opat)  # put the old patterns back

A custom printing function

Description

The S3 generic function knit_print is the default printing function in knitr. The chunk option render uses this function by default. The main purpose of this S3 generic function is to customize printing of R objects in code chunks. We can fall back to the normal printing behavior by setting the chunk option render = normal_print.

Usage

knit_print(x, ...)

normal_print(x, ...)

Arguments

Details

Users can write custom methods based on this generic function. For example, if we want to print all data frames as tables in the output, we can define a method knit_print.data.frame that turns a data.frame into a table (the implementation may use other R packages or functions, e.g. xtable or kable()).

Value

The value returned from the print method should be a character vector or can be converted to a character value. You can wrap the value in asis_output() so that knitr writes the character value as is in the output.

Note

It is recommended to leave a ... argument in your method, to allow future changes of the knit_print() API without breaking your method.

References

See vignette('knit_print', package = 'knitr').

Examples

library(knitr)
# write tables for data frames
knit_print.data.frame = function(x, ...) {
    res = paste(c("", "", kable(x, output = FALSE)), collapse = "\n")
    asis_output(res)
}
# register the method
registerS3method("knit_print", "data.frame", knit_print.data.frame)
# after you define and register the above method, data frames will be printed
# as tables in knitr, which is different with the default print() behavior

Knit package documentation

Description

Run examples in a package and insert output into the examples code; knit_rd_all() is a wrapper around knit_rd() to build static HTML help pages for all packages under the ‘html’ directory of them.

Usage

knit_rd(pkg, links = tools::findHTMLlinks(), frame = TRUE)

knit_rd_all()

Arguments

Value

All HTML pages corresponding to topics in the package are written under the current working directory. An ‘index.html’ is also written as a table of content.

Note

Ideally the html pages should be put under the ‘html’ directory of an installed package which can be found via system.file('html', package = 'your_package_name'), otherwise some links may not work (e.g. the link to the DESCRITION file).

Examples

library(knitr)
## Not run: 

knit_rd("maps")
knit_rd("rpart")
setwd(system.file("html", package = "ggplot2"))
knit_rd("ggplot2")  # time-consuming!

knit_rd_all()  # this may take really long time if you have many packages installed

## End(Not run)

Syntax highlighting themes

Description

This object can be used to set or get themes in knitr for syntax highlighting.

Usage

knit_theme

Format

An object of class list of length 2.

Details

We can use knit_theme$set(theme) to set the theme, and knit_theme$get(theme) to get a theme. The theme is a character string for both methods (either the name of the theme, or the path to the CSS file of a theme), and for the set() method, it can also be a list returned by the get() method. See examples below.

Note

The syntax highlighting here only applies to ‘.Rnw’ (LaTeX) and ‘.Rhtml’ (HTML) documents, and it does not work for other types of documents, such as ‘.Rmd’ (R Markdown, which has its own syntax highlighting themes; see https://rmarkdown.rstudio.com).

Author(s)

Ramnath Vaidyanathan and Yihui Xie

References

For a preview of all themes, see https://gist.github.com/yihui/3422133.

Examples

opts_knit$set(out.format = "latex")
knit_theme$set("edit-vim")

knit_theme$get()  # names of all available themes

thm = knit_theme$get("acid")  # parse the theme to a list
knit_theme$set(thm)

opts_knit$set(out.format = NULL)  # restore option

Watch an input file continuously and knit it when it is updated

Description

Check the modification time of an input file continously in an infinite loop. Whenever the time indicates the file has been modified, call a function to recompile the input file.

Usage

knit_watch(input, compile = knit, interval = 1, ...)

Arguments

Details

This is actually a general function not necessarily restricted to applications in knitr. You may specify any compile function to process the input file. To stop the infinite loop, press the ‘⁠Escape⁠’ key or ‘⁠Ctrl + C⁠’ (depending on your editing environment and operating system).

Examples

# knit_watch('foo.Rnw', knit2pdf)

# knit_watch('foo.Rmd', rmarkdown::render)

Convert markdown to HTML using knit() and mark_html()

Description

This is a convenience function to knit the input markdown source and call markdown::mark_html() in the markdown package to convert the result to HTML.

Usage

knit2html(
  input,
  output = NULL,
  ...,
  envir = parent.frame(),
  text = NULL,
  quiet = FALSE,
  encoding = "UTF-8",
  force_v1 = getOption("knitr.knit2html.force_v1", FALSE)
)

Arguments

Value

If the argument text is NULL, a character string (HTML code) is returned; otherwise the result is written into a file and the filename is returned.

Note

The markdown package is for R Markdown v1, which is much less powerful than R Markdown v2, i.e. the rmarkdown package (https://rmarkdown.rstudio.com). To render R Markdown v2 documents to HTML, please use rmarkdown::render() instead.

See Also

knit, markdown::mark_html

Examples

# a minimal example
writeLines(c("# hello markdown", "```{r hello-random, echo=TRUE}", "rnorm(5)", "```"),
    "test.Rmd")
knit2html("test.Rmd")
if (interactive()) browseURL("test.html")

unlink(c("test.Rmd", "test.html", "test.md"))

Convert various input files to various output files using knit() and Pandoc

Description

Knits the input file and compiles to an output format using Pandoc.

Usage

knit2pandoc(
  input,
  output = NULL,
  tangle = FALSE,
  text = NULL,
  quiet = FALSE,
  envir = parent.frame(),
  to = "html",
  pandoc_wrapper = NULL,
  ...,
  encoding = "UTF-8"
)

Arguments

Value

Returns the output of the pandoc_wrapper function.

Author(s)

Trevor L. Davis

Convert Rnw or Rrst files to PDF

Description

Knit the input Rnw or Rrst document, and compile to PDF using tinytex::latexmk() or rst2pdf().

Usage

knit2pdf(
  input,
  output = NULL,
  compiler = NULL,
  envir = parent.frame(),
  quiet = FALSE,
  ...
)

Arguments

Value

The filename of the PDF file.

Note

The output argument specifies the output filename to be passed to the PDF compiler (e.g. a tex document) instead of the PDF filename.

Author(s)

Ramnath Vaidyanathan, Alex Zvoleff and Yihui Xie

Examples

#' compile with xelatex
## knit2pdf(..., compiler = 'xelatex')

#' compile a reST file with rst2pdf
## knit2pdf(..., compiler = 'rst2pdf')

Knit an R Markdown document and post it to WordPress

Description

This function is a wrapper around the RWordPress package. It compiles an R Markdown document to HTML and post the results to WordPress. Please note that RWordPress has not been updated for several years, which is not a good sign. For blogging with R, you may want to try the blogdown package instead.

Usage

knit2wp(
  input,
  title = "A post from knitr",
  ...,
  envir = parent.frame(),
  shortcode = FALSE,
  action = c("newPost", "editPost", "newPage"),
  postid,
  publish = TRUE
)

Arguments

Note

This function will convert the encoding of the post and the title to UTF-8 internally. If you have additional data to send to WordPress (e.g. keywords and categories), you may have to manually convert them to the UTF-8 encoding with the iconv(x, to = 'UTF-8') function (especially when using Windows).

Author(s)

William K. Morris, Yihui Xie, and Jared Lander

References

https://yihui.org/knitr/demo/wordpress/

Examples

# see the reference

Load the cache database of a code chunk

Description

If a code chunk has turned on the chunk option cache = TRUE, a cache database will be established after the document is compiled. You can use this function to manually load the database anywhere in the document (even before the code chunk). This makes it possible to use objects created later in the document earlier, e.g. in an inline R expression before the cached code chunk, which is normally not possible because knitr compiles the document in a linear fashion, and objects created later cannot be used before they are created.

Usage

load_cache(
  label,
  object,
  notfound = "NOT AVAILABLE",
  path = opts_chunk$get("cache.path"),
  dir = opts_knit$get("output.dir"),
  envir = NULL,
  lazy = TRUE
)

Arguments

Value

Invisible NULL when object is not specified (the cache database will be loaded as a side effect), otherwise the value of the object if found.

Note

Apparently this function loads the value of the object from the previous run of the document, which may be problematic when the value of the object becomes different the next time the document is compiled. Normally you must compile the document twice to make sure the cache database is created, and the object can be read from it. Please use this function with caution.

References

See the example #114 at https://github.com/yihui/knitr-examples.

Default and current chunk options

Description

Options for R code chunks. When running R code, the object opts_chunk (default options) is not modified by chunk headers (local chunk options are merged with default options), whereas opts_current (current options) changes with different chunk headers and it always reflects the options for the current chunk.

Usage

opts_chunk

opts_current

Format

An object of class list of length 7.

An object of class list of length 7.

Details

Normally we set up the global options once in the first code chunk in a document using opts_chunk$set(), so that all latter chunks will use these options. Note the global options set in one chunk will not affect the options in this chunk itself, and that is why we often need to set global options in a separate chunk.

See str(knitr::opts_chunk$get()) for a list of default chunk options.

Note

opts_current should be treated as read-only and you are supposed to only query its values via opts_current$get(). Calling opts_current$set() will throw an error.

References

Usage: https://yihui.org/knitr/objects/

A list of available options: https://yihui.org/knitr/options/#chunk-options

Examples

opts_chunk$get("prompt")
opts_chunk$get("fig.keep")

Hooks for code chunk options

Description

Like knit_hooks, this object can be used to set hook functions to manipulate chunk options.

Usage

opts_hooks

Format

An object of class list of length 7.

Details

For every code chunk, if the chunk option named, say, FOO, is not NULL, and a hook function with the same name has been set via opts_hooks$set(FOO = function(options) { options }) (you can manipuate the options argument in the function and return it), the hook function will be called to update the chunk options.

References

https://yihui.org/knitr/hooks/

Examples

# make sure the figure width is no smaller than fig.height
opts_hooks$set(fig.width = function(options) {
    if (options$fig.width < options$fig.height) {
        options$fig.width = options$fig.height
    }
    options
})
# remove all hooks
opts_hooks$restore()

Options for the knitr package

Description

Options including whether to use a progress bar when knitting a document, and the base directory of images, etc.

Usage

opts_knit

Format

An object of class list of length 7.

Details

Besides the standard usage (opts_knit$set()), we can also set package options prior to loading knitr or calling knit() using options() in base R. A global option knitr.package.foo in options() will be set as an option foo in opts_knit, i.e. global options in base R with the prefix knitr.package. correspond to options in opts_knit. This can be useful to set package options in ‘~/.Rprofile’ without loading knitr.

See str(knitr::opts_knit$get()) for a list of default package options.

References

Usage: https://yihui.org/knitr/objects/

A list of available options: https://yihui.org/knitr/options/#package-options

Examples

opts_knit$get("verbose")
opts_knit$set(verbose = TRUE)  # change it
if (interactive()) {
    # for unnamed chunks, use 'fig' as the figure prefix
    opts_knit$set(unnamed.chunk.label = "fig")
    knit("001-minimal.Rmd")  # from https://github.com/yihui/knitr-examples
}

Template for creating reusable chunk options

Description

Creates a template binding a label to a set of chunk options. Every chunk that references the template label will have the specified set of options applied to it.

Usage

opts_template

Format

An object of class list of length 7.

Examples

opts_template$set(myfigures = list(fig.height = 4, fig.width = 4))
# later you can reuse these chunk options by 'opts.label', e.g.

# <<foo, opts.label='myfigures'>>=

# the above is equivalent to <<foo, fig.height=4, fig.width=4>>=

A Pandoc wrapper to convert documents to other formats

Description

This function calls Pandoc to convert documents to other formats such as HTML, LaTeX/PDF and Word, etc, (optionally) based on a configuration file or in-file configurations which specify the options to use for Pandoc.

Usage

pandoc(input, format, config = getOption("config.pandoc"), ext = NA)

Arguments

Details

There are two ways to input the Pandoc configurations – through a config file, or embed the configurations in the input file as special comments between ⁠<!--pandoc⁠ and ⁠-->⁠.

The configuration file is a DCF file (see read.dcf). This file must contain a field named t which means the output format. The configurations are written in the form of tag:value and passed to Pandoc (if no value is needed, just leave it empty, e.g. the option standalone or s for short). If there are multiple output formats, write each format and relevant configurations in a block, and separate blocks with blank lines.

If there are multiple records of the t field in the configuration, the input markdown file will be converted to all these formats by default, unless the format argument is specified as one single format.

Value

The output filename(s) (or an error if the conversion failed).

References

Pandoc: https://pandoc.org; Examples and rules of the configurations: https://yihui.org/knitr/demo/pandoc/

Also see R Markdown (v2) at https://rmarkdown.rstudio.com. The rmarkdown package has several convenience functions and templates that make it very easy to use Pandoc. The RStudio IDE also has comprehensive support for it, so I'd recommend users who are not familiar with command-line tools to use the rmarkdown package instead.

See Also

read.dcf

Examples

system("pandoc -h")  # see possible output formats

Partition chunk options from the code chunk body

Description

This is a wrapper function calling xfun::divide_chunk() under the hood.

Usage

partition_chunk(engine, code)

Set regular expressions to read input documents

Description

These are convenience functions to set pre-defined pattern lists (the syntax to read input documents). The function names are built from corresponding file extensions, e.g. pat_rnw() can set the Sweave syntax to read Rnw documents.

Usage

pat_rnw()

pat_brew()

pat_tex()

pat_html()

pat_md()

pat_rst()

pat_asciidoc()

pat_textile()

Value

The patterns object knit_patterns is modified as a side effect.

Examples

# see how knit_patterns is modified
knit_patterns$get()
pat_rnw()
knit_patterns$get()

knit_patterns$restore()  # empty the list

Crop a plot (remove the edges) using PDFCrop or ImageMagick

Description

The program pdfcrop (often shipped with a LaTeX distribution) is executed on a PDF plot file, and magick::image_trim() is executed for other types of plot files.

Usage

plot_crop(x, quiet = TRUE)

Arguments

Details

The program pdfcrop can crop the extra white margins when the plot format is PDF, to make better use of the space in the output document, otherwise we often have to struggle with graphics::par() to set appropriate margins. Note pdfcrop often comes with a LaTeX distribution such as TinyTeX, MiKTeX, or TeX Live, and you may not need to install it separately (use Sys.which('pdfcrop') to check it; if it not empty, you are able to use it). Note that pdfcrop depends on GhostScript. You can check if GhostScript is installed via tools::find_gs_cmd().

Value

The original filename.

References

PDFCrop: https://www.ctan.org/pkg/pdfcrop. If you use TinyTeX, you may install pdfcrop with tinytex::tlmgr_install('pdfcrop').

An unevaluated expression to return .Random.seed if exists

Description

This expression returns .Random.seed when eval(rand_seed) and NULL otherwise.

Usage

rand_seed

Details

It is designed to work with opts_chunk$set(cache.extra = rand_seed) for reproducibility of chunks that involve with random number generation. See references.

References

https://yihui.org/knitr/demo/cache/

Examples

eval(rand_seed)
rnorm(1)  # .Random.seed is created (or modified)
eval(rand_seed)

Mark character strings as raw blocks in R Markdown

Description

Wraps content in a raw attribute block, which protects it from being escaped by Pandoc. See https://pandoc.org/MANUAL.html#generic-raw-attribute. Functions raw_latex() and raw_html() are shorthands of raw_block(x, 'latex') and raw_block(x, 'html'), respectively.

Usage

raw_block(x, type = "latex", ...)

raw_latex(x, ...)

raw_html(x, ...)

Arguments

Examples

knitr::raw_latex("\\emph{some text}")

Read chunks from an external script

Description

Chunks can be put in an external script, and this function reads chunks into the current knitr session; read_demo() is a convenience function to read a demo script from a package.

Usage

read_chunk(
  path,
  lines = read_utf8(path),
  labels = NULL,
  from = NULL,
  to = NULL,
  from.offset = 0L,
  to.offset = 0L,
  roxygen_comments = TRUE
)

read_demo(topic, package = NULL, ...)

Arguments

Details

There are two approaches to read external code into the current session: (1) Use a special separator of the from ## ---- chunk-label (at least four dashes before the chunk label) in the script; (2) Manually specify the labels, starting and ending positions of code chunks in the script.

The second approach will be used only when labels is not NULL. For this approach, if from is NULL, the starting position is 1; if to is NULL, each of its element takes the next element of from minus 1, and the last element of to will be the length of lines (e.g. when from = c(1, 3, 8) and the script has 10 lines in total, to will be c(2, 7, 10)). Alternatively, from and to can be character vectors as regular expressions to specify the positions; when their length is 1, the single regular expression will be matched against the lines vector, otherwise each element of from/to is matched against lines and the match is supposed to be unique so that the numeric positions returned from grep() will be of the same length of from/to. Note labels always has to match the length of from and to.

Value

As a side effect, code chunks are read into the current session so that future chunks can (re)use the code by chunk label references. If an external chunk has the same label as a chunk in the current session, chunk label references by future chunks will refer to the external chunk.

Note

This function can only be used in a chunk which is not cached (chunk option cache = FALSE), and the code is read and stored in the current session without being executed (to actually run the code, you have to use a chunk with a corresponding label).

Author(s)

Yihui Xie; the idea of the second approach came from Peter Ruckdeschel (author of the SweaveListingUtils package)

References

https://yihui.org/knitr/demo/externalization/

Examples

## put this in foo.R and read_chunk('foo.R')

## ---- my-label ----
1 + 1
lm(y ~ x, data = data.frame(x = 1:10, y = rnorm(10)))

## later you can use <<my-label>>= to reference this chunk

## the 2nd approach
code = c("#@a", "1+1", "#@b", "#@a", "rnorm(10)", "#@b")
read_chunk(lines = code, labels = "foo")  # put all code into one chunk named foo
read_chunk(lines = code, labels = "foo", from = 2, to = 2)  # line 2 into chunk foo
read_chunk(lines = code, labels = c("foo", "bar"), from = c(1, 4), to = c(3, 6))
# automatically figure out 'to'
read_chunk(lines = code, labels = c("foo", "bar"), from = c(1, 4))
read_chunk(lines = code, labels = c("foo", "bar"), from = "^#@a", to = "^#@b")
read_chunk(lines = code, labels = c("foo", "bar"), from = "^#@a", to = "^#@b",
    from.offset = 1, to.offset = -1)

## later you can use, e.g., <<foo>>=
knitr::knit_code$get()  # use this to check chunks in the current session
knitr::knit_code$restore()  # clean up the session

Set or get output hooks for different output formats

Description

The render_*() functions set built-in output hooks for LaTeX, HTML, Markdown, reStructuredText, AsciiDoc, and Textile. The hooks_*() functions return a list of the output hooks for the corresponding format.

Usage

render_html()

hooks_html()

render_asciidoc()

hooks_asciidoc()

render_latex()

hooks_latex()

render_sweave()

hooks_sweave(envirs = c("Sinput", "Soutput", "Schunk"))

render_listings()

hooks_listings(envirs = c("Sinput", "Soutput", "Schunk"))

render_markdown(strict = FALSE, fence_char = "`")

hooks_markdown(strict = FALSE, fence_char = "`")

render_jekyll(highlight = c("pygments", "prettify", "none"), extra = "")

hooks_jekyll(highlight = c("pygments", "prettify", "none"), extra = "")

render_rst(strict = FALSE)

hooks_rst(strict = FALSE)

render_textile()

hooks_textile()

Arguments

Details

There are three variants of Markdown documents: ordinary Markdown (render_markdown(strict = TRUE), which calls hooks_markdown(strict = TRUE)), extended Markdown (e.g., GitHub Flavored Markdown and Pandoc; render_markdown(strict = FALSE), which calls hooks_markdown(strict = FALSE)), and Jekyll (a blogging system on GitHub; render_jekyll(), which calls hooks_jekyll()).

For LaTeX output, there are three variants: knitr's default style (render_latex(), which calls hooks_latex() and uses the LaTeX framed package), Sweave style (render_sweave(), which calls hooks_sweave() and uses ‘Sweave.sty’), and listings style (render_listings(), which calls hooks_listings() and uses LaTeX listings package).

Default HTML output hooks are set by render_html() (which calls hooks_html()); render_rst() (which calls hooks_rst()) is for reStructuredText; render_textile() (which calls hooks_textile()) is for Textile, and render_asciidoc() (which calls hooks_asciidoc()) is AsciiDoc.

The render_*() functions can be used before knit() or in the first chunk of the input document (ideally this chunk has options include = FALSE and cache = FALSE) so that all the following chunks will be formatted as expected.

You can also use knit_hooks to set the format's hooks with the hooks_*() functions; see references for more info on further customizing output hooks.

Value

NULL for render_* functions; corresponding hooks are set as a side effect. A list of output hooks for hooks_*() functions.

References

See output hooks in https://yihui.org/knitr/hooks/, and some examples in https://bookdown.org/yihui/rmarkdown-cookbook/output-hooks.html

Jekyll and Liquid: https://github.com/jekyll/jekyll/wiki/Liquid-Extensions; prettify.js: https://code.google.com/archive/p/google-code-prettify

Examples

# below is pretty much what knitr::render_markdown() does:
knitr::knit_hooks$set(knitr::hooks_markdown())

# you can retrieve a subset of the hooks and set them, e.g.,
knitr::knit_hooks$set(knitr::hooks_markdown()["source"])

knitr::knit_hooks$restore()

Convert an ‘Rnw’ document to PDF

Description

Call knit() to compile the ‘.Rnw’ input to ‘.tex’, and then tinytex::latexmk() to convert ‘.tex’ to ‘.pdf’.

Usage

rnw2pdf(
  input,
  output = with_ext(input, "pdf"),
  compiler = "xelatex",
  envir = parent.frame(),
  quiet = FALSE,
  clean = TRUE,
  error = FALSE,
  ...
)

Arguments

Details

This function is similar to knit2pdf(), with the following differences:

1. The default compiler is "xelatex" instead of "pdflatex".

2. output uses the file extension ".pdf" instead of ".tex".

3. Before knitting, it tries to remove the output file and will throw a clear error if the file cannot be removed.

4. output could be under any dir, not necessarily the same directory as input.

5. It cleans up intermediate files by default, including the ".tex" file.

6. It stops knitting when any error occurs (by setting the chunk option error = FALSE).

Value

The output file path.

Knit R Markdown using the classic Docco style

Description

The classic Docco style is a two-column layout, with text in the left and code in the right column.

Usage

rocco(input, ...)

Arguments

Details

The output HTML page supports resizing and hiding/showing the two columns. Move the cursor to the center of the page, and it will change to a bidirectional resize cursor; drag the cursor to resize the two columns. Press the key t to hide the code column (show the text column only), and press again to hide the text column (show code).

Value

An HTML file is written, and its name is returned.

Author(s)

Weicheng Zhu and Yihui Xie

References

The Docco package by Jeremy Ashkenas: https://github.com/jashkenas/docco

Examples

rocco_view = function(input) {
    owd = setwd(tempdir())
    on.exit(setwd(owd))
    if (!file.exists(input))
        return()
    o = rocco(input, quiet = TRUE)
    if (interactive())
        browseURL(o)
}
# knit these two vignettes using the docco style
rocco_view(system.file("doc", "docco-classic.Rmd", package = "knitr"))
rocco_view(system.file("doc", "knit_expand.Rmd", package = "knitr"))

A wrapper for rst2pdf

Description

Convert reST to PDF using rst2pdf (which converts from rst to PDF using the ReportLab open-source library).

Usage

rst2pdf(input, command = "rst2pdf", options = "")

Arguments

Value

An input file ‘*.rst’ will produce ‘*.pdf’ and this output filename is returned if the conversion was successful.

Author(s)

Alex Zvoleff and Yihui Xie

References

https://github.com/rst2pdf/rst2pdf

See Also

knit2pdf

Set aliases for chunk options

Description

We do not have to use the chunk option names given in knitr; we can set aliases for them. The aliases are a named character vector; the names are aliases and the elements in this vector are the real option names.

Usage

set_alias(...)

Arguments

Value

NULL. opts_knit$get('aliases') is modified as the side effect.

Examples

set_alias(w = "fig.width", h = "fig.height")
# then we can use options w and h in chunk headers instead of fig.width and
# fig.height

Set the header information

Description

Some output documents may need appropriate header information. For example, for LaTeX output, we need to write ‘⁠\usepackage{tikz}⁠’ into the preamble if we use tikz graphics; this function sets the header information to be written into the output.

Usage

set_header(...)

Arguments

Details

By default, knitr will set up the header automatically. For example, if the tikz device is used, knitr will add ‘⁠\usepackage{tikz}⁠’ to the LaTeX preamble, and this is done by setting the header component tikz to be a character string: set_header(tikz = '\usepackage{tikz}'). Similary, when we highlight R code using the highlight package (i.e. the chunk option highlight = TRUE), knitr will set the highlight component of the header vector automatically; if the output type is HTML, this component will be different – instead of LaTeX commands, it contains CSS definitions.

For power users, all the components can be modified to adapt to a customized type of output. For instance, we can change highlight to LaTeX definitions of the listings package (and modify the output hooks accordingly), so we can decorate R code using the listings package.

Value

The header vector in opts_knit is set.

Examples

set_header(tikz = "\\usepackage{tikz}")
opts_knit$get("header")

Specify the parent document of child documents

Description

This function extracts the LaTeX preamble of the parent document to use for the child document, so that the child document can be compiled as an individual document.

Usage

set_parent(parent)

Arguments

Details

When the preamble of the parent document also contains code chunks and inline R code, they will be evaluated as if they were in this child document. For examples, when knitr hooks or other options are set in the preamble of the parent document, it will apply to the child document as well.

Value

The preamble is extracted and stored to be used later when the complete output is written.

Note

Obviously this function is only useful when the output format is LaTeX. This function only works when the child document is compiled in a standalone mode using knit() (instead of being called in knit_child()); when the parent document is compiled, this function in the child document will be ignored.

References

https://yihui.org/knitr/demo/child/

Examples

## can use, e.g. \Sexpr{set_parent('parent_doc.Rnw')} or

# <<setup-child, include=FALSE>>=

# set_parent('parent_doc.Rnw')

# @

Wrap evaluated results for output

Description

This function is mainly for internal use: it is called on each part of the output of the code chunk (code, messages, text output, and plots, etc.) after all statements in the code chunk have been evaluated, and will sew these pieces of output together into a character vector.

Usage

sew(x, options = list(), ...)

Arguments

Spin goat's hair into wool

Description

This function takes a specially formatted R script and converts it to a literate programming document. By default normal text (documentation) should be written after the roxygen comment (#') and code chunk options are written after #| or #+ or # %% or # ----.

Usage

spin(
  hair,
  knit = TRUE,
  report = TRUE,
  text = NULL,
  envir = parent.frame(),
  format = c("Rmd", "Rnw", "Rhtml", "Rtex", "Rrst", "qmd"),
  doc = "^#+'[ ]?",
  inline = "^[{][{](.+)[}][}][ ]*$",
  comment = c("^[# ]*/[*]", "^.*[*]/ *$"),
  precious = !knit && is.null(text)
)

Arguments

Details

Obviously the goat's hair is the original R script, and the wool is the literate programming document (ready to be knitted).

Value

If text is NULL, the path of the final output document, otherwise the content of the output.

Note

If the output format is Rnw and no document class is specified in roxygen comments, this function will automatically add the article class to the LaTeX document so that it is complete and can be compiled. You can always specify the document class and other LaTeX settings in roxygen comments manually.

When the output format is Rmd, it is compiled to HTML via knit2html(), which uses R Markdown v1 instead of v2. If you want to use the latter, you should call rmarkdown::render() instead. Similarly, if the output format is qmd, you need to render the output with Quarto.

Author(s)

Yihui Xie, with the original idea from Richard FitzJohn (who named it as sowsear() which meant to make a silk purse out of a sow's ear)

References

https://yihui.org/knitr/demo/stitch/

See Also

stitch (feed a template with an R script)

Spin a child R script

Description

This function is similar to knit_child() but is used in R scripts instead. When the main R script is not called via spin(), this function simply executes the child script via sys.source(), otherwise it calls spin() to spin the child script into a source document, and uses knit_child() to compile it. You can call this function in R code, or using the syntax of inline R expressions in spin() (e.g. {{knitr::spin_child('script.R')}}).

Usage

spin_child(input, format)

Arguments

Value

A character string of the knitted R script.

Automatically create a report based on an R script and a template

Description

This is a convenience function for small-scale automatic reporting based on an R script and a template. The default template is an Rnw file (LaTeX); stitch_rhtml() and stitch_rmd() are wrappers on top of stitch() using the R HTML and R Markdown templates respectively.

Usage

stitch(
  script,
  template = system.file("misc", "knitr-template.Rnw", package = "knitr"),
  output = NULL,
  text = NULL,
  envir = parent.frame()
)

stitch_rhtml(..., envir = parent.frame())

stitch_rmd(..., envir = parent.frame())

Arguments

Details

The first two lines of the R script can contain the title and author of the report in comments of the form ‘⁠## title:⁠’ and ‘⁠## author:⁠’. The template must have a token ‘⁠%sCHUNK_LABEL_HERE⁠’, which will be used to input all the R code from the script. See the examples below.

The R script may contain chunk headers of the form ‘⁠## ---- label, opt1=val1, opt2=val2⁠’, which will be copied to the template; if no chunk headers are found, the whole R script will be inserted into the template as one code chunk.

Value

path of the output document

See Also

spin (turn a specially formatted R script to a report)

Examples

s = system.file("misc", "stitch-test.R", package = "knitr")
if (interactive()) stitch(s)  # compile to PDF

# HTML report
stitch(s, system.file("misc", "knitr-template.Rhtml", package = "knitr"))

# or convert markdown to HTML
stitch(s, system.file("misc", "knitr-template.Rmd", package = "knitr"))

unlink(c("stitch-test.html", "stitch-test.md", "figure"), recursive = TRUE)

Convert Sweave to knitr documents

Description

This function converts an Sweave document to a knitr-compatible document.

Usage

Sweave2knitr(
  file,
  output = gsub("[.]([^.]+)$", "-knitr.\\1", file),
  text = NULL
)

Arguments

Details

The pseudo command ‘⁠\SweaveInput{file.Rnw}⁠’ is converted to a code chunk header <<child='file.Rnw'>>=.

Similarly ‘⁠\SweaveOpts{opt = value}⁠’ is converted to a code chunk ‘⁠opts_chunk$set(opt = value)⁠’ with the chunk option include = FALSE; the options are automatically fixed in the same way as local chunk options (explained below).

The Sweave package ‘⁠\usepackage{Sweave}⁠’ in the preamble is removed because it is not required.

Chunk options are updated if necessary: option values true and false are changed to TRUE and FALSE respectively; fig=TRUE is removed because it is not necessary for knitr (plots will be automatically generated); fig=FALSE is changed to fig.keep='none'; the devices pdf/jpeg/png/eps/tikz=TRUE are converted to dev='pdf'/'jpeg'/'png'/'postscript'/'tikz'; pdf/jpeg/png/eps/tikz=FALSE are removed; results=tex/verbatim/hide are changed to results='asis'/'markup'/'hide'; width/height are changed to fig.width/fig.height; prefix.string is changed to fig.path; print/term/prefix=TRUE/FALSE are removed; most of the character options (e.g. engine and out.width) are quoted; keep.source=TRUE/FALSE is changed to tidy=FALSE/TRUE (note the order of values).

If a line @ (it closes a chunk) directly follows a previous @, it is removed; if a line @ appears before a code chunk and no chunk is before it, it is also removed, because knitr only uses one ‘⁠@⁠’ after ‘⁠<<>>=⁠’ by default (which is not the original Noweb syntax but more natural).

Value

If text is NULL, the output file is written and NULL is returned. Otherwise, the converted text string is returned.

Note

If ‘⁠\SweaveOpts{}⁠’ spans across multiple lines, it will not be fixed, and you have to fix it manually. The LaTeX-style syntax of Sweave chunks are ignored (see ?SweaveSyntaxLatex); only the Noweb syntax is supported.

References

The motivation of the changes in the syntax: https://yihui.org/knitr/demo/sweave/

See Also

Sweave, gsub

Examples

Sweave2knitr(text = "<<echo=TRUE>>=")  # this is valid
Sweave2knitr(text = "<<png=true>>=")  # dev='png'
Sweave2knitr(text = "<<eps=TRUE, pdf=FALSE, results=tex, width=5, prefix.string=foo>>=")
Sweave2knitr(text = "<<,png=false,fig=TRUE>>=")
Sweave2knitr(text = "\\SweaveOpts{echo=false}")
Sweave2knitr(text = "\\SweaveInput{hello.Rnw}")
# Sweave example in utils
testfile = system.file("Sweave", "Sweave-test-1.Rnw", package = "utils")
Sweave2knitr(testfile, output = "Sweave-test-knitr.Rnw")
if (interactive()) knit("Sweave-test-knitr.Rnw")  # or knit2pdf() directly
unlink("Sweave-test-knitr.Rnw")

Package vignette engines

Description

Since R 3.0.0, package vignettes can use non-Sweave engines, and knitr has provided a few engines to compile vignettes via knit() with different templates. See https://yihui.org/knitr/demo/vignette/ for more information.

Note

If you use the knitr::rmarkdown engine, please make sure that you put rmarkdown in the ‘⁠Suggests⁠’ field of your ‘DESCRIPTION’ file. Also make sure pandoc is available during R CMD build. If you build your package from RStudio, this is normally not a problem. If you build the package outside RStudio, run rmarkdown::find_pandoc() in an R session to check if Pandoc can be found.

When the rmarkdown package is not installed or not available, or pandoc cannot be found, the knitr::rmarkdown engine will fall back to the knitr::knitr engine, which uses R Markdown v1 based on the markdown package.

Examples

library(knitr)
vig_list = tools::vignetteEngine(package = "knitr")
str(vig_list)
vig_list[["knitr::knitr"]][c("weave", "tangle")]
vig_list[["knitr::knitr_notangle"]][c("weave", "tangle")]
vig_list[["knitr::docco_classic"]][c("weave", "tangle")]

Wrap long lines in Rmd files

Description

This function wraps long paragraphs in an R Markdown file. Other elements are not wrapped: the YAML preamble, fenced code blocks, section headers and indented elements. The main reason for wrapping long lines is to make it easier to review differences in version control.

Usage

wrap_rmd(file, width = 80, text = NULL, backup)

Arguments

Value

If file is provided, it is overwritten; if text is provided, a character vector is returned.

Note

Currently it does not wrap blockquotes or lists (ordered or unordered). This feature may or may not be added in the future.

Examples

wrap_rmd(text = c("```", "1+1", "```", "- a list item", "> a quote", "",
    paste(rep("this is a normal paragraph", 5), collapse = " ")))

Generate BibTeX bibliography databases for R packages

Description

A wrapper function of xfun::pkg_bib().

Usage

write_bib(..., prefix = getOption("knitr.bib.prefix", "R-"))

Arguments