scatterPlot: scatterPlot module server logic

In loosolab/wilson: Web-Based Interactive Omics Visualization

Description

scatterPlot module server logic

Usage

scatterPlot(
  input,
  output,
  session,
  clarion,
  marker.output = NULL,
  plot.method = "static",
  width = "auto",
  height = "auto",
  ppi = 72,
  scale = 1
)

Arguments

input	Shiny's input object
output	Shiny's output object
session	Shiny's session object
clarion	A clarion object. See Clarion. (Supports reactive)
marker.output	Marker module output. See marker.
plot.method	Choose to rather render a 'interactive' or 'static' plot. Defaults to 'static'.
width	Width of the plot in cm. Defaults to minimal size for readable labels and supports reactive.
height	Height of the plot in cm. Defaults to minimal size for readable labels and supports reactive.
ppi	Pixel per inch. Defaults to 72 and supports reactive.
scale	Scale plot size. Defaults to 1, supports reactive.

Details

As markerOutput provides a second dataset used for highlighting it is crucial for it to have the same columnnames as the dataset provided by clarion.

Intersections between marker and clarion will be removed from clarion in favor of highlighting them.

Value

Returns reactive containing data used for plot.

loosolab/wilson documentation built on Nov. 16, 2021, 3:21 p.m.