netdiffuseR (version 1.17.0)

diffnet-arithmetic: diffnet Arithmetic and Logical Operators

Description

Addition, substraction, network power of diffnet and logical operators such as & and | as objects

Usage

"^"(x, y)
graph_power(x, y, valued = getOption("diffnet.valued", FALSE))
"/"(y, x)
"-"(x, y)
"*"(x, y)
"&"(x, y)
"|"(x, y)

Arguments

x

A diffnet class object.

y

Integer scalar. Power of the network

valued

Logical scalar. When FALSE all non-zero entries of the adjacency matrices are set to one.

Value

A diffnet class object

Details

Using binary operators, ease data management process with diffnet.

By default the binary operator ^ assumes that the graph is valued, hence the power is computed using a weighted edges. Otherwise, if more control is needed, the user can use graph_power instead.

See Also

Other diffnet methods: %*%, as.array.diffnet, as_diffnet, c.diffnet, diffnet_index

Examples

# Computing two-steps away threshold with the Brazilian farmers data --------
data(brfarmersDiffNet)

expo1 <- threshold(brfarmersDiffNet)
expo2 <- threshold(brfarmersDiffNet^2)

# Computing correlation
cor(expo1,expo2)

# Drawing a qqplot
qqplot(expo1, expo2)

# Working with inverse ------------------------------------------------------
brf2_step <- brfarmersDiffNet^2
brf2_step <- 1/brf2_step

# Removing the first 3 vertex of medInnovationsDiffnet ----------------------
data(medInnovationsDiffNet)

# Using a diffnet object
first3Diffnet <- medInnovationsDiffNet[1:3,,]
medInnovationsDiffNet - first3Diffnet

# Using indexes
medInnovationsDiffNet - 1:3

# Using ids
medInnovationsDiffNet - as.character(1001:1003)