fdPlotly: Create an interactive plot using plotly.

In alteryx/flightdeck: Interactive Dashboards for Predictive Models

Description

This function is a lightweight wrapper around plotly.js. For complete documentation, please refer to https://plot.ly/javascript/reference/.

Usage

fdPlotly(data, layout = NULL, config = NULL, width = NULL,
  height = NULL)

Arguments

data	list of traces to plot.
layout	list consisting of the layout to use for the plot.
config	list consisting of configuration to use for the plot.
width	width of the plot.
height	height of the plot.

Examples

# Example 1: Scatterplot
dat <- list(
  x = runif(100),
  y = runif(100),
  mode = 'markers',
  type = 'scatter'
)
layout <- list(margin = list(t = 40))
config <- list(displaylogo = FALSE, displayModeBar = FALSE)

if (interactive()){
  fdPlotly(
    data = list(dat),
    layout = layout,
    config = config,
    height = 325
  )  
}


# Example 2: Line and Scatter Plot
# https://plot.ly/javascript/line-and-scatter/
trace1 = list(
  x =  c(1, 2, 3, 4),
  y =  c(10, 15, 13, 17),
  mode =  'markers',
  type =  'scatter'
)

trace2 = list(
  x =  c(2, 3, 4, 5),
  y =  c(16, 5, 11, 9),
  mode =  'lines',
  type =  'scatter'
)

trace3 = list(
  x =  c(1, 2, 3, 4),
  y =  c(12, 9, 15, 12),
  mode =  'lines+markers',
  type =  'scatter'
)

if (interactive()){
  fdPlotly(
    data = list(trace1, trace2, trace3)
  )
}

alteryx/flightdeck documentation built on May 12, 2019, 1:39 a.m.