NetVis: Create a dynamic network representing the relationship...
In GALLO: Genomic Annotation in Livestock for Positional Candidate LOci

NetVis

R Documentation

Create a dynamic network representing the relationship between two groups of variables

Description

Create a dynamic network representing the relationship between two groups of variables

Usage

NetVis(
  data,
  g1,
  g2,
  col1 = "aquamarine",
  col2 = "red",
  edge_col = "gray",
  remove_label = NULL,
  node_size = c(15, 40),
  font_size = 45,
  edge_width = 1
)

Arguments

`data`	A data frame containing the relationship between the two groups to be represented in the network
`g1`	Name of the column containing the labels of the first group that will be used to create the network
`g2`	Name of the column containing the labels of the second group that will be used to create the network
`col1`	Color of the nodes that will represent the first group represented in the network. The default value is aquamarine
`col2`	Color of the nodes that will represent the second group represented in the network The default value is red
`edge_col`	Color of the edges that will connect the nodes in the network. The default value is gray
`remove_label`	If is required to omit the labels for some of the groups, this argument receives the column name informed the g1 or g2 arguments. The default value is NULL
`node_size`	A vector with the node sizes to represent g1 and g2. The defaul values are 15 and 40, respectively
`font_size`	The size of the font of the labels of each node (The default value is 45)
`edge_width`	The width of the edges connecting the nodes in the network

Details

This function returns a dynamic network, using visNetwork, representing the connection between two groups. For example, the output from the find_genes_qtls_around_markers() function can be used here to represent the connections between markers and QTLs. Another option is to combine the data frames with both gene and QTL annotation around markers to reprsent the connections between genes and QTLs.