vis.net {NetExplorer}

Visualize a network

Description

Plots a network

Usage

vis.net(
  df,
  m,
  col.id = NULL,
  col.size = NULL,
  color = c("black", "white"),
  col.color = NULL,
  col.shape = NULL,
  shapes = NULL,
  strokeCol = c("white", "black"),
  col.strokeCol = NULL,
  col.stroke = NULL,
  layers = NULL,
  node.opacity = NULL,
  link.opacity = FALSE,
  background = "grey"
)

Arguments

df

a data frame with node information.

m

a matrix of node connections.

col.id

a character or numeric vector indicating the column name or index of node Ids.

col.size

a character or numeric vector indicating the column name or index of node size.

color

a vector character of length two indicating the range of color for node color.

col.color

a character or numeric vector indicating the column name or index of node color.

col.shape

a character or numeric vector indicating the column name or index of node shape.

shapes

a character vector indicating the type of shape per category. 7 shapes are available: "circle", "cross", "diamond", "rectangle, "star", "triangle", "y"

strokeCol

a vector character of length two indicating the range of color for node stroke color.

col.strokeCol

a character or numeric vector indicating the column name or index of node stroke color.

col.stroke

a character or numeric vector indicating the column name or index of node stroke.

layers

a column in argument df indicating the factor to use for multi-layer layout.

node.opacity

a character or numeric vector indicating the column name or index of node opacity.

link.opacity

a character or numeric vector indicating the column name or index of link opacity.

background

a character indicating the background color.

Details

Opens default web browser and shows 'NetExplorer' interface with the desired network. Further information and tutorial can be found in my video https://youtu.be/IcFTZWCTO_s/

Value

Opens default web browser with the ploted network.

Author(s)

Sebastian Sosa

Examples

vis.net(df,m,col.id = "id", col.size = "strength",
color = c('green', 'yellow'), col.color = "age" ,
strokeCol = c('red', 'blue'), col.strokeCol = "kinship",
col.stroke = "degree",
col.shape =  "sex",shapes = c("circle", "triangle"),
layers =  "kinship")