plot2Att: Plots Graphs using ggplot2 with two attributes

In discourseGT: Analyze Group Patterns using Graph Theory in Educational Settings

Plots Graphs using ggplot2 with two attributes

Description

Plots graph data using the GGally library and ggnet function while incorporating demographic properties. Use this plot function if you have all demographic data available to plot.

Usage

plot2Att(
  data,
  prop = 20,
  graphmode = "fruchtermanreingold",
  attribute1 = NULL,
  attribute2 = NULL,
  attribute1.label = "Attribute 1",
  attribute2.label = "Attribute 2",
  attribute.node.labels = NULL,
  attribute.nodesize = 10
)

Arguments

data	Data from the prepareGraphs function
prop	Rescaling the graph edge sizes for the plot
graphmode	Type of graphical projection to use. Default is Fruchterman Reingold. Refer to gplot.layout for the various available options
attribute1	Mapping to the attribute 1 information, can be list or column in data frame (Required)
attribute2	Mapping to the attribute 2 information, can be list or column in data frame (Required)
attribute1.label	Name of the attribute 1 info (Required)
attribute2.label	Name of the attribute 2 info (Required)
attribute.node.labels	Mapping to the node labels, can be list or column in data frame (Required)
attribute.nodesize	Size of the nodes. Default will result in size of 10. Can be replaced with custom mapping in list or column in data frame. (Required)

Examples

df <- sampleData1
prepNet <- tabulate_edges(df, silentNodes = 0)
baseNet <- prepareGraphs(prepNet, project_title = "Sample Data 1", weightedGraph = TRUE)
attdata <- attributeData
plot2Att(baseNet, prop = 20, graphmode = "fruchtermanreingold",
attribute1 = attdata$gender, attribute2 = attdata$ethnicity,
attribute1.label = "Gender", attribute2.label = "Ethnicity",
attribute.node.labels = attdata$node, attribute.nodesize = 12)

discourseGT documentation built on July 26, 2023, 5:46 p.m.