rn_strengthDist: Strength versus Degree scaling relation
In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks
rn_strengthDist R Documentation
Strength versus Degree scaling relation
Description
Calculates the Recurrence Rate versus Recurrence Time power-law
Usage
rn_strengthDist(g, mode = c("in", "out", "all")[3], doPlot = TRUE)
Arguments
g
an igraph object representing a weighted Recurrence Network
mode
Evaluate the "in", "out" degree, or "all" edges (default = "all")
doPlot
Plot the scaling relation? (default = TRUE)
Value
A data frame with local vertex strength and vertex degree, including
Examples
y <- rnorm(100)
RN <- rn(y, emLag=1, emDim=3, emRad=NA, weighted = TRUE, weightedBy = "rt", returnGraph = TRUE)
rn_strengthDist(RN$g)
FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.
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| rn_strengthDist | R Documentation |
Strength versus Degree scaling relation
Description
Calculates the Recurrence Rate versus Recurrence Time power-law
Usage
rn_strengthDist(g, mode = c("in", "out", "all")[3], doPlot = TRUE)
Arguments
g |
an igraph object representing a weighted Recurrence Network |
mode |
Evaluate the "in", "out" degree, or "all" edges (default = |
doPlot |
Plot the scaling relation? (default = TRUE) |
Value
A data frame with local vertex strength and vertex degree, including
Examples
y <- rnorm(100)
RN <- rn(y, emLag=1, emDim=3, emRad=NA, weighted = TRUE, weightedBy = "rt", returnGraph = TRUE)
rn_strengthDist(RN$g)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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