# firstflowsg

0th

Percentile

##### Flow Selection Based on Global Criteria

Flow selection based on global criteria.

##### Usage
firstflowsg(mat, method = "nfirst", k, ties.method = "first")
##### Arguments
mat
A square matrix of flows.
method
A method of flow selection, one of "nfirst", "xfirst" or "xsumfirst":
• nfirst selects the k first flows of the matrix,
• xfirst selects flows greater than k,
• xsumfirst selects as many flows as necessary so that their sum is at least equal to k.
k
Selection threshold.
ties.method
In case of equality with "nfirst" method, use "random" or "first" (see rank).
##### Details

As the output is a boolean matrix, use element-wise multiplication to get flows intensity.

##### Value

A boolean matrix of selected flows.

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

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

# Select the 50 first flows of the matrix
flowSel <- firstflowsg(mat = myflows, method = "nfirst", ties.method = "first",
k = 50)
statmat(mat = myflows * flowSel, output = "none")

# Select all flows greater than 2000
flowSel <- firstflowsg(myflows, method = "xfirst", k= 2000)
statmat(mat = myflows * flowSel, output = "none")

# Select flows that represent at least 50% of the matrix flows
k50 <- sum(myflows)/2
flowSel <- firstflowsg(mat = myflows, method = "xsumfirst", k = 150000)
statmat(mat = myflows * flowSel, output = "none")

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

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