ECharts2Shiny (version 0.2.13)

renderScatter: Render the Scatter Plots Plotted by ECharts into Shiny Application

Description

renderScatter() function helps render the scatter plots into Shiny applications.

Usage

renderScatter(div_id, data,
              point.size = 10, point.type = "circle",
              theme = "default", auto.scale = TRUE,
              show.legend = TRUE, show.tools = TRUE,
              font.size.legend = 12,
              font.size.axis.x = 12, font.size.axis.y = 12,
              axis.x.name = NULL, axis.y.name = NULL,
              rotate.axis.x = 0, rotate.axis.y = 0,
              show.slider.axis.x = FALSE, show.slider.axis.y = FALSE,
              animation = TRUE,
              grid_left = "3%", grid_right = "4%", grid_top = "16%", grid_bottom = "3%",
              running_in_shiny = TRUE)

Arguments

div_id

The division id users specified for this chart. The division will be specified in ui.R.

data

The data used for the plotting. It should be a data.frame. For scatter plots, the data must be made up of three columns, "x", "y", and "group".

point.size

This argument helps set the size of points in the scatter plots. It should be a single numeric or integer value. The dafault value is 10.

point.type

The shape of the points in scatter plots.

Valid values include 'emptyCircle', 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow'. The default value is 'circle'.

The length of this argument should either be one or be the same as the number of UNIQUE groups (the number of unique elements in 'group' column of the data input).

theme

Which ECharts theme to use. Valid values include "default", "roma", "infographic", "macarons", "vintage", "shine", "caravan", "dark-digerati", "jazz", and "london".

auto.scale

A logical argument to determine if the scatter plot should be scaled again automatically after the users exclude any group of observations. The default value is TRUE.

show.legend

If display the legends. The default value is TRUE.

show.tools

If display the tool bar. The default value is TRUE.

font.size.legend

The font size of legend bar. The default value is 12.

font.size.axis.x

The font size of the labels on X axis. The default value is 12.

font.size.axis.y

The font size of the labels on Y axis. The default value is 12.

axis.x.name

The name of X axis. The default value is NULL.

axis.y.name

The name of Y axis. The default value is NULL.

rotate.axis.x

The rotation degree of labels on X axis. The default value is 0.

rotate.axis.y

The rotation degree of labels on Y axis. The default value is 0.

show.slider.axis.x

Whether display slider on X axis. The default value is FALSE.

show.slider.axis.y

Whether display slider on Y axis. The default value is FALSE.

animation

Whether display the chart with animation. The default value is TRUE.

grid_left

Distance between grid component and the left side of the container. Default value is "3%".

grid_right

Distance between grid component and the right side of the container. Default value is "4%".

grid_top

Distance between grid component and the top side of the container. Default value is "16%".

grid_bottom

Distance between grid component and the bottom side of the container. Default value is "3%".

running_in_shiny

If we're actually running this in a Shiny library, or we're simply doing testing. Default valus is "TRUE". If "FALSE", the function will print what it's supposed to evaluate.

Examples

# NOT RUN {
if (interactive()) {
  library(shiny)
  library(ECharts2Shiny)


  dat <- data.frame(x = iris$Sepal.Length,
                    y = iris$Sepal.Width,
                    group = iris$Species)


  # Server function -------------------------------------------
  server <- function(input, output) {
    renderScatter("test", data = dat)
  }

  # UI layout -------------------------------------------------
  ui <- fluidPage(
    # We MUST load the ECharts javascript library in advance
    loadEChartsLibrary(),

    tags$div(id="test", style="width:100%;height:500px;"),
    deliverChart(div_id = "test")
  )

  # Run the application --------------------------------------
  shinyApp(ui = ui, server = server)
}

# }