# plotDomFlows

0th

Percentile

##### Dominant Flows Graph

This function plots a dominant flows graph.

##### Usage
plotDomFlows(mat, legend.flows.pos = "topright", legend.flows.title = "Flows Intensity", legend.nodes.pos = "bottomright", legend.node.txt = c("Dominant", "Intermediary", "Dominated", "Size proportional\nto sum of inflows"), labels = FALSE)
##### Arguments
mat
A square matrix of dominant flows (see domflows).
legend.flows.pos
Position of the flows legend, one of "topleft", "top", "topright", "left", "right", "bottomleft", "bottom", "bottomright".
legend.flows.title
Title of the flows legend.
legend.nodes.pos
Position of the nodes legend, one of "topleft", "top", "topright", "left", "right", "bottomleft", "bottom", "bottomright".
legend.node.txt
Text of the nodes legend.
labels
A boolean, if TRUE, labels of dominant and intermediary nodes are plotted.
##### Note

As square matrices can easily be plot with plot.igraph or gplot functions from igraph and sna packages, we do not propose visualisation for other outputs.

• plotDomFlows
##### Examples
# Import data
data(nav)
myflows <- prepflows(mat = nav, i = "i", j = "j", fij = "fij")

# Remove the matrix diagonal
diag(myflows) <- 0

# Select the dominant flows (incoming flows criterion)
flowSel1 <- domflows(mat = myflows, w = colSums(myflows), k = 1)
# Select the first flows
flowSel2 <- firstflows(mat = myflows, method = "nfirst", ties.method = "first",
k = 1)

# Combine selections
flowSel <- myflows * flowSel1 * flowSel2

# Plot dominant flows graph
plotDomFlows(mat = flowSel, legend.flows.title = "Nb. of commuters")

Documentation reproduced from package flows, version 1.1.1, License: GPL-3

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