regulation_net: Learning Regulation Transition Network
In cograph: Analysis and Visualization of Complex Networks
regulation_net R Documentation
Learning Regulation Transition Network
Description
A synthetic weighted transition network among ten learning regulation
states, used in the package examples and the introduction vignette. Each
cell holds the weight of the transition from the row state to the column
state.
Usage
regulation_net
Format
A 10 x 10 numeric matrix with row and column names Explore,
Plan, Monitor, Adapt, Reflect, Discuss,
Synthesize, Evaluate, Create and Share. Thirty
of the 90 off-diagonal cells carry weights between 0.05 and 0.49; the
remaining cells, including the diagonal, are zero.
Details
The network is synthetic and represents no observed data. It was
generated with set.seed(42): 30 off-diagonal cells were drawn at
random and given weights drawn uniformly between 0.05 and 0.5, rounded to
two decimals. Rows are not normalized.
Value
A 10 x 10 numeric matrix of transition weights with state names as
row and column names.
Source
Synthetic, generated for the package examples.
Examples
regulation_net
splot(regulation_net, tna_styling = TRUE)
cograph documentation built on Sept. 30, 2026, 5:08 p.m.
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| regulation_net | R Documentation |
Learning Regulation Transition Network
Description
A synthetic weighted transition network among ten learning regulation states, used in the package examples and the introduction vignette. Each cell holds the weight of the transition from the row state to the column state.
Usage
regulation_net
Format
A 10 x 10 numeric matrix with row and column names Explore,
Plan, Monitor, Adapt, Reflect, Discuss,
Synthesize, Evaluate, Create and Share. Thirty
of the 90 off-diagonal cells carry weights between 0.05 and 0.49; the
remaining cells, including the diagonal, are zero.
Details
The network is synthetic and represents no observed data. It was
generated with set.seed(42): 30 off-diagonal cells were drawn at
random and given weights drawn uniformly between 0.05 and 0.5, rounded to
two decimals. Rows are not normalized.
Value
A 10 x 10 numeric matrix of transition weights with state names as row and column names.
Source
Synthetic, generated for the package examples.
Examples
regulation_net
splot(regulation_net, tna_styling = TRUE)
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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