README.md

shinipsum

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/

Installation

You can install the dev version of shinipsum from GitHub with:

install.packages("shinipsum")

About

You’re reading the doc about version : 0.0.0.9000

This README has been compiled on the

Sys.time()
#> [1] "2023-03-27 11:19:38 CEST"

Here are the test & coverage results :

devtools::check(quiet = TRUE)
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#> ℹ Installed roxygen2 version (7.2.3) doesn't match required (7.1.1)
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#> ── R CMD check results ─────────────────────────────── shinipsum 0.0.0.9000 ────
#> Duration: 18.4s
#> 
#> ❯ checking top-level files ... NOTE
#>   Non-standard file/directory found at top level:
#>     ‘README.html’
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#> ❯ checking dependencies in R code ... NOTE
#>   Namespace in Imports field not imported from: ‘utils’
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#> 0 errors ✔ | 0 warnings ✔ | 2 notes ✖

covr::package_coverage()
#> shinipsum Coverage: 97.91%
#> R/example.R: 44.44%
#> R/Table.R: 96.97%
#> R/Plot.R: 99.29%
#> R/DataTable.R: 100.00%
#> R/dygraphs.R: 100.00%
#> R/Image.R: 100.00%
#> R/LinearModel.R: 100.00%
#> R/Print.R: 100.00%
#> R/Text.R: 100.00%
#> R/utils.R: 100.00%

Demo

Available examples:

library(shinipsum)
ipsum_examples()
#> [1] "01_navbar.R"

You can run {shinipsum} demos with:

shiny::runApp(
  ipsum_examples("01_navbar.R")
)

Available ipsums :

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).

DataTable

random_DT takes 4 args :

• nrow & ncol: number of row and columns of the table
• type : random, numeric, character, numchar - the type of the columns
• ... : args to be passed to DT::datatable

Image

random_image returns a random image.

Plot

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.

Dygraph

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()

Print

random_print takes one arg:

• type: can be any of "character", "numeric", "model", "table", and defines the type of print. Default is "character".

Table

random_table takes three args : nrow, ncols and type. See random_DT.

Text

random_text takes one of these two args:

• nchar: lorem ipsum of nchar characters
• nwords: lorem ipsum of nwords characters
• offset: number of characters or words to offset the result by

Lm

random_lm returns a random lm model output:

• nobs: Number of observations
• nx: Number of variables (should be lower than nobs)

Example

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.