Package 'plantuml' reference manual

Title:	Create UML Graphs using PlantUML Syntax
Description:	Create UML graphs using the PlantUML language. These are either shown in a graphics device or saved as a file.
Authors:	Rainer M. Krug [aut, cre]
Maintainer:	Rainer M. Krug <[email protected]>
License:	GPL-3
Version:	0.6.9
Built:	2024-11-16 04:34:48 UTC
Source:	https://github.com/rkrug/plantuml

Convert an R object to a Class uml object

Description

Generic function to convert an R object to a plantuml Class object. See details for the individual functions

Usage

as.plantuml(x, ...)

## S3 method for class 'character'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'complex'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'data.frame'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## Default S3 method:
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'factor'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'integer'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'list'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'logical'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'numeric'
as.plantuml(x, complete = FALSE, nm = NULL, ...)
as.plantuml(x, ...)

## S3 method for class 'character'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'complex'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'data.frame'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## Default S3 method:
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'factor'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'integer'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'list'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'logical'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

## S3 method for class 'numeric'
as.plantuml(x, complete = FALSE, nm = NULL, ...)

Arguments

`x`	R object to be converted
`...`	other argunents passed on to generic functions

Value

object of class plantuml which can be plotted.

Examples

## Not run: 
x <- list(
  a = 1:10,
  b = letters[1:4],
  c = data.frame(
    x = 1:10,
    y = c(TRUE, FALSE)
  )
)
x <- plantuml(x)
plot( x )

## End(Not run)

## Not run: 
 x <- LETTERS
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- factor(LETTERS)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- 1L:10L
 names(x) <- letters[1:10]
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- list(
   num = 1:10,
   let = letters[1:20]
 )
 x$list <- list(x, x)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- 1/(-10:10)
 x <- as.plantuml(x)
 plot(x)

 x <- matrix(1:21, nrow = 7, ncol = 3)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
x <- list(
  a = 1:10,
  b = letters[1:4],
  c = data.frame(
    x = 1:10,
    y = c(TRUE, FALSE)
  )
)
x <- plantuml(x)
plot( x )

## End(Not run)

## Not run: 
 x <- LETTERS
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- factor(LETTERS)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- 1L:10L
 names(x) <- letters[1:10]
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- list(
   num = 1:10,
   let = letters[1:20]
 )
 x$list <- list(x, x)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

## Not run: 
 x <- 1/(-10:10)
 x <- as.plantuml(x)
 plot(x)

 x <- matrix(1:21, nrow = 7, ncol = 3)
 x <- as.plantuml(x)
 plot(x)
 
## End(Not run)

Create diff between two lists to be used in the 'plantuml_yaml()' and 'plantuml_json()' as preamble to highlight the differences.

Description

This function requires that the names of 'x' and 'y' are identical and in the same order. Any deviation from this will very likely result in strange error messages. The format follows the **0Highlight parts** on [https://plantuml.com/yaml](https://plantuml.com/yaml).

Usage

diff_yaml_json(x, y)
diff_yaml_json(x, y)

Arguments

`x`	list basde on yaml or json file to be compared. See the details zection for further info.
`y`	list based on yaml or json file to be compared. See the details zection for further info.

Value

'character' vector to be used as preamble for the 'plot_yaml()' and 'plantuml_json()' functions (or 'plantuml_file()' in case of a f=json or yaml file..

Get PlantUML graph

Description

Get the graph from either the local PicoWeb Server included in plantuml or an online plantuml server.

Usage

get_graph(x, file = NULL, width = NULL, height = NULL, css = NULL)
get_graph(x, file = NULL, width = NULL, height = NULL, css = NULL)

Arguments

`x`	plantuml code to draw the UML graph
`file`	file name, including extension, to which the returned plantUML graph should be saved. If `⁠NULL', the graph is saved to a temporary file. The following extensions are allowed: - svg: This is the default format and the one always used as return format for PlantUML for image formats. No conversion neeed. - txt: Second return format for PlantUML. No conversion neeed. - png: Converted from svg using ⁠`rsvg::rsvg_png( svg = tmpfile, file = file, width = width, height = height, css = css )`⁠- pdf Converted from svg using⁠`rsvg::rsvg_pdf( svg = tmpfile, file = file, width = width, height = height, css = css )`⁠- ps Converted from svg using⁠`rsvg::rsvg_ps( svg = tmpfile, file = file, width = width, height = height, css = css )'
`width`	output width in pixels or NULL for default.
`height`	output height in pixels or NULL for default
`css`	path/url to external css file or raw vector with css data. This requires your system has a recent version of librsvg.

Value

name of the file with the graph

Getter and Setter for options

Description

Allow the user to set and examine the parameter used by the package plantuml

Usage

getPlantumlOption(x, default = NULL)

plantumlOptions(...)
getPlantumlOption(x, default = NULL)

plantumlOptions(...)

Arguments

`x`	a character string holding an option name.
`default`	if the specified option is not set in the options list, this value is returned. This facilitates retrieving an option and checking whether it is set and setting it separately if not.
`...`	named value to be set in the form of `name = value`

Value

getPlantumlOption(): the value of the option
plantumlOptions(): the old value of the plantuml options

Examples

getPlantumlOption("jar_name")

plantumlOptions(jar_name = "something useless!")

getPlantumlOption("jar_name")

getPlantumlOption("jar_name")

plantumlOptions(jar_name = "something useless!")

getPlantumlOption("jar_name")

Convert a character to a `plantuml` object

Description

Convert a character to a plantuml object. This can be plotted.

Usage

plantuml(x = NULL)
plantuml(x = NULL)

Arguments

`x`	character sting containing plantuml code.

Value

object of class plantuml which can be plotted.

Examples

## Not run: 
x <- '
(*) --> "Initialization"

if "Some Test" then
-->[true] "Some Activity"
--> "Another activity"
-right-> (*)
else
  ->[false] "Something else"
-->[Ending process] (*)
endif
'
x <- plantuml( x )
plot( x )

## End(Not run)

## Not run: 
x <- '
(*) --> "Initialization"

if "Some Test" then
-->[true] "Some Activity"
--> "Another activity"
-right-> (*)
else
  ->[false] "Something else"
-->[Ending process] (*)
endif
'
x <- plantuml( x )
plot( x )

## End(Not run)

Convert file to plantuml code

Description

The function either plots the object including values (yaml and json) or loads the object and plots the structure (csv and rds).

Exactly one of the two arguments (file or text) needs tobe specified.

This is a convenience function which only reads the csv file using read.csv(file, ...) and converts the resulting data.frame to a plantuml object using plantuml().

This is a convenience function which only reads the rds file using readRDS(file, ...) and converts the resulting object to a plantuml object using plantuml().

Usage

plantuml_file(file, preamble = "", ...)

plantuml_yaml(file, text, preamble = "", ...)

plantuml_json(file, text, preamble = "", ...)

plantuml_csv(file, ...)

plantuml_rds(file, ...)
plantuml_file(file, preamble = "", ...)

plantuml_yaml(file, text, preamble = "", ...)

plantuml_json(file, text, preamble = "", ...)

plantuml_csv(file, ...)

plantuml_rds(file, ...)

Arguments

`file`	file name of the `rds` file. The function does not do any checking if the file is a `rds` file!
`preamble`	text to be inserted after the `⁠@startyaml⁠` and before the actual yaml. For example style and highlight info. See https://plantuml.com/yaml for further info.
`...`	additional arguments. Will be passed to `readRDS()`
`text`	yaml text to be converted. The function does not do any checking if the file is valid yaml!

Value

a plantuml containing the yaml file for plotting

a plantuml containing the json file for plotting

a plantuml containing the structure of the csv file for plotting

a plantuml containing the structure of the rds file for plotting

Examples

## Not run: 
plantuml_file("name.yml")
plantuml_file("name.yaml")
plantuml_file("name.json")
plantuml_file("name.rds")
plantuml_file("name.csv")

## End(Not run)
## some preparations
x1 <- "name: Test yml\na:\n- a\n- d\n- c\nB:\n- C\n- D\n- E\nx:\n  one: 0.2885\n  two: 0.7498\n"
x2 <- "name: Test yml\na:\n- a\n- b\n- c\nB:\n- C\n- D\n- E\nx:\n  one: 0.2865\n  two: 0.7498\n"
fn1 <- tempfile(fileext = ".yml")
fn2 <- tempfile(fileext = ".yml")
writeLines(x1, fn1)
writeLines(x2, fn2)

## and now the example

plot(plantuml_yaml(fn1))

## Now let's see the differences between `fn1` and `fn2`
## this requires the package `yaml` to be installed

if (require(yaml)) {
  plot(
    plantuml_yaml(
      file = fn1,
      preamble = diff_yaml_json(yaml::read_yaml(fn1), yaml::read_yaml(fn2))
   )
  )
}

## and cleanup

unlink(fn1)
unlink(fn2)

## some preparations
x <- '{"name":["Test json"],"a":["a","b","c"],"B":["C","D","E"],"x":[0.6464,0.6879]}'
fn <- tempfile(fileext = ".json")
writeLines(x, fn)

## and now the example

plot(plantuml_json(fn))

## and cleanupo

unlink(fn)

## some preparations
x <- data.frame(
  a = c("a", "b", "c"),
  B = c("C", "D", "E"),
  x = c(0.77, 0.38, 4.43),
  bool = c(TRUE, FALSE, FALSE)
)

fn <- tempfile(fileext = ".csv")
write.csv(x, fn)

## and now the example

plot(plantuml_csv(fn))

# and only the fors columns (the rownames will not all be there)

plot(plantuml_csv(fn, nrows = 1))

# or character vectors as factors

plot(plantuml_csv(fn, as.is = FALSE))

## and cleanupo

unlink(fn)

## some preparations
x <- list(
  name = "Test list",
  a = c("a", "b", "c"),
  B = c("C", "D", "E"),
  x = c(0.776318477466702, 0.381654617609456)
)

fn <- tempfile(fileext = ".rds")
saveRDS(x, fn)

## and now the example

plot(plantuml_rds(fn))

## and cleanupo

unlink(fn)

## Not run: 
plantuml_file("name.yml")
plantuml_file("name.yaml")
plantuml_file("name.json")
plantuml_file("name.rds")
plantuml_file("name.csv")

## End(Not run)
## some preparations
x1 <- "name: Test yml\na:\n- a\n- d\n- c\nB:\n- C\n- D\n- E\nx:\n  one: 0.2885\n  two: 0.7498\n"
x2 <- "name: Test yml\na:\n- a\n- b\n- c\nB:\n- C\n- D\n- E\nx:\n  one: 0.2865\n  two: 0.7498\n"
fn1 <- tempfile(fileext = ".yml")
fn2 <- tempfile(fileext = ".yml")
writeLines(x1, fn1)
writeLines(x2, fn2)

## and now the example

plot(plantuml_yaml(fn1))

## Now let's see the differences between `fn1` and `fn2`
## this requires the package `yaml` to be installed

if (require(yaml)) {
  plot(
    plantuml_yaml(
      file = fn1,
      preamble = diff_yaml_json(yaml::read_yaml(fn1), yaml::read_yaml(fn2))
   )
  )
}

## and cleanup

unlink(fn1)
unlink(fn2)

## some preparations
x <- '{"name":["Test json"],"a":["a","b","c"],"B":["C","D","E"],"x":[0.6464,0.6879]}'
fn <- tempfile(fileext = ".json")
writeLines(x, fn)

## and now the example

plot(plantuml_json(fn))

## and cleanupo

unlink(fn)

## some preparations
x <- data.frame(
  a = c("a", "b", "c"),
  B = c("C", "D", "E"),
  x = c(0.77, 0.38, 4.43),
  bool = c(TRUE, FALSE, FALSE)
)

fn <- tempfile(fileext = ".csv")
write.csv(x, fn)

## and now the example

plot(plantuml_csv(fn))

# and only the fors columns (the rownames will not all be there)

plot(plantuml_csv(fn, nrows = 1))

# or character vectors as factors

plot(plantuml_csv(fn, as.is = FALSE))

## and cleanupo

unlink(fn)

## some preparations
x <- list(
  name = "Test list",
  a = c("a", "b", "c"),
  B = c("C", "D", "E"),
  x = c(0.776318477466702, 0.381654617609456)
)

fn <- tempfile(fileext = ".rds")
saveRDS(x, fn)

## and now the example

plot(plantuml_rds(fn))

## and cleanupo

unlink(fn)

Knit engine for plantuml

Description

This function provides a knit engine for the plantuml. It has the following additional functions:

plantuml.format: the format of the generated image. For formats which return images, these will be inserted, formats resulting in text qill be included as text. At the moment, the following are supported:
- auto (default) uses svg if output is html and pdf if output is pdf
- png To generate image using PNG format (default).
- svg To generate image using SVG format.
- eps To generate text in EPS format; or generates an image when outputting LaTeX rather than HTML formats.
plantuml.path: the path where the resulting files will be saved. Default is the same directory as the .Rmd file is in in a directory named ' plantuml. The path will be created if it does not exist. The name of each plantuml figure is the label of thre chunk with the extension as specified.
plantuml.preview: if TRUE, an inline preview will be shown in RStudio. Attention: the processing takse twice as long as without this option!.

Usage

plantuml_knit_engine(options)
plantuml_knit_engine(options)

Arguments

options

knitr options see knitr

Details

Thanks to Emiliano Heyns (retorquere) for giving me the idea for this functiion https://github.com/rkrug/plantuml/issues/10#issue-639795529 See knit_engines in the knitr packages for details

Value

See knit_engines in the knitr packages for details

Examples

## Not run: 
## see
system.file("plantuml.Rmd", package = "plantuml")
## for an example RMarkdown file usint this knit engine.

## End(Not run)
## Not run: 
## see
system.file("plantuml.Rmd", package = "plantuml")
## for an example RMarkdown file usint this knit engine.

## End(Not run)

Register the function `plantuml_knit_engine()` with knitr

Description

This is a simple helper function, which registers the plantuml knit engine with knitr. As a result, code chunks of type plantuml can be evaluated.

Usage

plantuml_knit_engine_register()
plantuml_knit_engine_register()

Value

the result of knitr::knit_engines$set(plantuml = plantuml::plantuml_knit_engine)

Examples

## Not run: 
# in the setup chunk in a RMarkdown document, add
plantuml_knit_engine_register()

## End(Not run)
## Not run: 
# in the setup chunk in a RMarkdown document, add
plantuml_knit_engine_register()

## End(Not run)

Run the plantuml binary

Description

The in the package installation included plantuml binary is executed using the provided java and plantuml commands. This is effectively a wrapper around system2() with some values set to run plantuml.

Usage

plantuml_run(
  x = NULL,
  file = "",
  plantuml_jar = getPlantumlOption("jar_name"),
  plantuml_opt = getPlantumlOption("plantuml_opt"),
  java_bin = getPlantumlOption("java_bin"),
  java_opt = getPlantumlOption("java_opt"),
  wait = FALSE
)
plantuml_run(
  x = NULL,
  file = "",
  plantuml_jar = getPlantumlOption("jar_name"),
  plantuml_opt = getPlantumlOption("plantuml_opt"),
  java_bin = getPlantumlOption("java_bin"),
  java_opt = getPlantumlOption("java_opt"),
  wait = FALSE
)

Arguments

`x`	plantuml code to draw the UML graph
`file`	file name, including extension, to which the generated plantUML graph should be saved. The extension determines the format of the graph. If `⁠NULL', the graph is returned as a ASCII art, i.e. a ⁠`character' vector..
`plantuml_jar`	path and name of the plantuml jar file. The dafault is read from `getPlantumlOption("plantuml_jar")`.
`plantuml_opt`	options for the call of `java`. The default is read from `getPlantumlOption("plantuml_opt")`.
`java_bin`	path to the `java` binary. The dafault is read from `getPlantumlOption("java_bin")`.
`java_opt`	options for the call of `java`. The default is read from `getPlantumlOption("java_opt")`.
`wait`	if `TRUE`, wait until the process has finished. If `FALSE`, return immediately.

Value

if wait is TRUE the pid of the process started. Otherwise the result from the call to system2()

Examples

## Not run: 
# This will take some time when you run it
# for the first time as it will download \code{plantuml.jar}
  plantuml_run()

## End(Not run)
## Not run: 
# This will take some time when you run it
# for the first time as it will download \code{plantuml.jar}
  plantuml_run()

## End(Not run)

Update or download `plantuml.jar` binary

Description

The file plantuml.jar is downloaded from Sourceforge and saved as "plantuml.jar" in the folder system.file("jar", package = "plantuml") of the package. The source code for plantuml can be found at https://github.com/plantuml/plantuml

Usage

plantuml_update(tag = "release", ...)
plantuml_update(tag = "release", ...)

Arguments

tag

tag of the version to be downloaded. Allowed values are

"release : the last release
"snapshot" : the last snapshot - Not ready for gneral use

...

additional arguments for the download.file() function

Value

the path and name of the downloaded file

Examples

## Not run: 
plantuml_update()

## End(Not run)
## Not run: 
plantuml_update()

## End(Not run)

Generate PlantUML Server URL

Description

Generate PlantUML Server URL

Usage

plantuml_URL(
  plantuml = "@startuml\nBob -> Alice : hello\n@enduml",
  server_url = getPlantumlOption("server_url"),
  server_port = getPlantumlOption("server_port"),
  type = "svg",
  open_in_browser = FALSE
)
plantuml_URL(
  plantuml = "@startuml\nBob -> Alice : hello\n@enduml",
  server_url = getPlantumlOption("server_url"),
  server_port = getPlantumlOption("server_port"),
  type = "svg",
  open_in_browser = FALSE
)

Arguments

`plantuml`	The plantuml code. If `NULL`, only the base URL consisting of server and (if specified) port will be returned.
`server_url`	The base url of the server. Should end with a single `/` If `NULL`, encoding, including the ttpe, will be returned.
`server_port`	port on which the plantuml server is
`type`	the type of the returned figure. At the moment supported: `png`, `svg` `txt`, or `map`. See https://plantuml.com/server for further details. If `NULL`, encoding, excluding the tytpe, will be returned. The return value is invalid if `server_url` is given!
`open_in_browser`	if TRUE, the result will be opened in the browser.

Value

complete url to retrieve the graph.

Generate UML graph from plantuml

Description

Generate an image containing based ion the plantuml code. TODO can I use vector formats?

Usage

## S3 method for class 'plantuml'
plot(x, file = NULL, width = 1024, height = NULL, css = NULL, ...)
## S3 method for class 'plantuml'
plot(x, file = NULL, width = 1024, height = NULL, css = NULL, ...)

Arguments

`x`	plantuml code to draw the UML graph
`file`	`file` is 'NULL: the graph is drawn in the graphics device. `file` is a file name: the graph is saved in the file and the type is based on the extensions. `file` is `NULL`: the data which would have been saved in the file is returned in a character vector. This is only useful for text formats like `eps` or `svg`!
`width`	output width in pixels or NULL for default.
`height`	output height in pixels or NULL for default
`css`	path/url to external css file or raw vector with css data. This requires your system has a recent version of librsvg.
`...`	additional arguments for the `plot` function and the `plantuml_run` function.

Value

returns file name (including absolute path) of the created graph.

Examples

plantumlCode <- '
 @startuml
 (*) --> "First Activity"
 -->[You can put also labels] "Second Activity"
 --> (*)
 @enduml
'
## Not run: 
x <- as.plantuml( plantumlCode )
plot( x )
plot(as.plantuml(x), java_opt = "-Djava.awt.headless=true")

## End(Not run)
plantumlCode <- '
 @startuml
 (*) --> "First Activity"
 -->[You can put also labels] "Second Activity"
 --> (*)
 @enduml
'
## Not run: 
x <- as.plantuml( plantumlCode )
plot( x )
plot(as.plantuml(x), java_opt = "-Djava.awt.headless=true")

## End(Not run)

Get info about the plantuml server

Description

The parameter (URL and port) as in the getPlantumlOption() specified are used.

Usage

server_info()
server_info()

Value

list with the following arguments:

server: type of the server, PicoWeb Server or PlantUML Web Server
**supported_formats: supported formats of the server

Set parameter of the plantuml server addrss to the default valus

Description

Set parameter of the plantuml server addrss to the default valus

Usage

server_set(location = "remote")
server_set(location = "remote")

Arguments

location

alloeed values are:

"remote": default values for the remote server
"local": default values for a local picoweb server. The serer still needs to be started! Other locations need to be set manually by setting the options directly.

Value

invisibly the old values of plantuml options

Start a PlantUML Picoweb Server on localhost

Description

If the port getPlantumlOption("server_port") on localhostis is available, i.e. no other server is running on that port, a PantUML PicoWeb Server is started. The return value indicates if a server was started and if not, why.

Usage

server_start()
server_start()

Value

integer or list() as returned from server_status()

-999: unknown error
1 : unknown server running on the port on localhost
2 : PlantUML Web Server running on that port on localhost
server_info() ehen PicoWeb Server already running or started

Get the status of the server

Description

The parameter (URL and port) as in the getPlantumlOption() specified are used.

Usage

server_status()
server_status()

Value

integer value indicating the status:

-999: undetermined error (should not happen)!
-404: URL not reachable
0 : server reachable but not a known PlantUml Web Server or PicWeb Plantuml Server
1 : server is PicoWeb Server
2 : server is PlantUML Web Server

Stop a PlantUML Picoweb Server running on localhost

Description

The server is expscted at the port getPlantumlOption("server_port") on localhost.

Usage

server_stop()
server_stop()

Value

integer or list() as returned from server_status()

-999: unknown error
-1 : unknown server running on the port on localhost
-2 : PlantUML Web Server running on that port on localhost
0 : PicoWeb Server in the process of stopping or no server running on tat port

RENAMED to plantuml_update()!

Description

RENAMED to plantuml_update()!

Usage

updatePlantumlJar(...)
updatePlantumlJar(...)

Arguments

...

some parameter

Package 'plantuml'

Help Index

Add attributes to puml$code

Description

Usage

Arguments

Value

Add info to puml$code

Description

Usage

Arguments

Value

Convert an R object to a Class uml object

Description

Usage

Arguments

Value

Examples

Create diff between two lists to be used in the 'plantuml_yaml()' and 'plantuml_json()' as preamble to highlight the differences.

Description

Usage

Arguments

Value

Get PlantUML graph

Description

Usage

Arguments

Value

Getter and Setter for options

Description

Usage

Arguments

Value

Examples

Convert a character to a plantuml object

Description

Usage

Arguments

Value

Examples

Convert file to plantuml code

Description

Usage

Arguments

Value

Examples

Knit engine for plantuml

Description

Usage

Arguments

Details

Value

Examples

Register the function plantuml_knit_engine() with knitr

Description

Usage

Value

Examples

Run the plantuml binary

Description

Usage

Arguments

Value

Examples

Update or download plantuml.jar binary

Description

Usage

Arguments

Value

Examples

Generate PlantUML Server URL

Description

Usage

Arguments

Value

Generate UML graph from plantuml

Description

Usage

Arguments

Value

Add attributes to `puml$code`

Add info to `puml$code`

Convert a character to a `plantuml` object

Register the function `plantuml_knit_engine()` with knitr

Update or download `plantuml.jar` binary