How to use pairmodule

library(colorpen)
#> Warning: replacing previous import 'ggplot2::last_plot' by 'plotly::last_plot'
#> when loading 'colorpen'

Introduction

colorpen’s pairModule uses GGally to visualize pair-level plot.

In this article, we’ll use mtcars dataset.

This article is based on 0.0.4 Version.

Declare module

colorpen’s module assumes that used in the Shiny application.

and You can use snippet(type shinyapp) to build very basic shiny application.

library(shiny)

ui <- fluidPage(
 
)

server <- function(input, output, session) {
  
}

shinyApp(ui, server)

This application will show nothing.

So let’s add pairModule in ui

ui <- fluidPage(
  mod_pairModule_ui('pairModule_1')
)

also, pairModule in server.

server <- function(input, output, session) {
  colorpen::mod_pairModule_server('pairModule_1', inputData)
}

Note that, we didn’t declare inputData yet.

So final (which is very basic) code will like this.

library(shiny)

ui <- fluidPage(
  mod_mapVisModule_ui(
    id = 'MapModule'
  )
)

server <- function(input, output, session) {
  inputData <- reactive({mtcars}) ## THIS CODE ADDED
  colorpen::mod_pairModule_server('pairModule_1', inputData)
}

shinyApp(ui, server) # run application

You should notice 2 things.

1. both id in ui and server should be same.
2. inputData in server should be format of reactive

Structure of pairModule

pairModule is consisted with Result Area and Control Area

and below using flow.

1. Declare module (we did already)
2. Set columns of data to visualize
3. Draw.

For more information about leaflet functions, visit this page.

For any issue or suggestion, please make issue in colorpen’s github.