plot_semnet: Visualize a semnet network
In kasperwelbers/semnet: Semantic network analysis

Description Usage Arguments Details Value

plot_semnet is a wrapper for the plot.igraph() function optimized for plotting a network with vertex labels.

plot_semnet(g, weight_attr = "weight", minweight = NA,
  vertexsize_attr = "freq", vertexcolor_attr = NA, labelsize_coef = 1,
  labeldist_coef = 1.5, reduce_labeloverlap = T, redo_layout = F,
  return_graph = T, layout = layout_with_fr, ...)

`g`	A network in the igraph format. Specifically designed for the output of coOccurenceNetwork() and windowedCoOccurenceNetwork()
`vertexsize_attr`	a character string indicating a vertex attribute that represents size. Default is 'freq', which is created in the coOccurenceNetwork functions to indicate the number of times a word occured.
`vertexcolor_attr`	a character string indicating a vertex attribute that represents color. The attribute can also be a numeric value (e.g., a cluster membership) in which case colors are assigned to numbers.
`labelsize_coef`	a coefficient for increasing or decreasing the size of the vertexlabel.
`labeldist_coef`	a coefficient that roughly determines the minimal distance between vertex labels, based on the size of labels. Only used if reduce_labeloverlap is TRUE.
`reduce_labeloverlap`	if TRUE, an algorithm is used to reduce overlap as best as possible.
`redo_layout`	If TRUE, a new layout will be calculated using layout_with_fr(). If g does not have a layout attribute (g$layout), a new layout is automatically calculated.
`return_graph`	if TRUE, plot_semnet() also returns the graph object with the attributes and layout as shown in the plot.
`...`	additional arguments are passed on to plot.igraph()

Before plotting the network, the setNetworkAttributes() function is used to set pretty defaults for plotting. Optionally, reduce_labeloverlap can be used to prevent labeloverlap (as much as possible).

Plots a network, and returns the network object if return_graph is TRUE.

kasperwelbers/semnet documentation built on May 20, 2019, 7:38 a.m.