knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of {shinipsum}
is to provide random shiny elements for easiest shiny app prototyping, so that you can focus on building the frontend before building the backend.
The full documentation can be found on the {pkgdown}
site: https://thinkr-open.github.io/shinipsum/
You can install the dev version of shinipsum from GitHub with:
install.packages("shinipsum")
You're reading the doc about version : r pkgload::pkg_version()
This README has been compiled on the
Sys.time()
Here are the test & coverage results :
devtools::check(quiet = TRUE)
unloadNamespace("shinipsum")
covr::package_coverage()
Available examples:
library(shinipsum) ipsum_examples()
You can run {shinipsum}
demos with:
shiny::runApp( ipsum_examples("01_navbar.R") )
Note: {shinipsum} only load functions which are necessary to its internal job. If you want to customise an output or to use a renderXX / XXOutput, you'll need to explicitely load the packages needed (for example, if you want to customise a dygraph, a ggplot, or use ggplotly).
random_DT
takes 4 args :
nrow
& ncol
: number of row and columns of the tabletype
: random, numeric, character, numchar - the type of the columns...
: args to be passed to DT::datatable
random_image
returns a random image.
random_ggplot
takes one arg :
type
: Can be any of "random", "point", "bar", "boxplot","col", "tile", "line", "bin2d", "contour", "density", "density_2d", "dotplot", "hex", "freqpoly", "histogram", "ribbon", "raster", "tile", "violin" and defines the geom of the ggplot. Default is "random", and chooses a random geom for you.Default theme is minimal.
As the return object is a ggplot
, it can be enhanced like any other ggplot with +
.
library(ggplot2) random_ggplot(type = "col") + labs(title = "Random plot") + theme_bw()
random_ggplotly
calls the ggplotly
function on a random_ggplot
.
random_dygraph
returns a random dygprah. It takes one arg:
...
: arguments which are passed to the dygraph()
function.As the return object is a dygraph
, it can be enhanced like any other dygraph.
library(dygraphs) random_dygraph() %>% dyRangeSelector()
random_print
takes one arg:
type
: can be any of "character", "numeric", "model", "table"
, and defines the type of print. Default is "character"
.random_table
takes three args : nrow
, ncols
and type
. See random_DT
.
random_text
takes one of these two args:
nchar
: lorem ipsum of nchar
charactersnwords
: lorem ipsum of nwords
charactersoffset
: number of characters or words to offset the result byrandom_lm
returns a random lm
model output:
nobs
: Number of observationsnx
: Number of variables (should be lower than nobs
)Here is an example of using {shinipsum}
to generate a random app:
library(shiny) library(shinipsum) library(DT) ui <- fluidPage( h2("A Random DT"), DTOutput("data_table"), h2("A Random Image"), plotOutput("image", height = "300px"), h2("A Random Plot"), plotOutput("plot"), h2("A Random Print"), verbatimTextOutput("print"), h2("A Random Table"), tableOutput("table"), h2("A Random Text"), tableOutput("text") ) server <- function(input, output, session) { output$data_table <- DT::renderDT({ random_DT(10, 5) }) output$image <- renderImage({ random_image() }) output$plot <- renderPlot({ random_ggplot() }) output$print <- renderPrint({ random_print("model") }) output$table <- renderTable({ random_table(10, 5) }) output$text <- renderText({ random_text(nwords = 50) }) } shinyApp(ui, server)
Please note that the 'shinipsum' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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