sim.fluency: Simulates a verbal fluency binary response matrix
In AlexChristensen/SemNeT: Methods and Measures for Semantic Network Analysis
sim.fluency R Documentation
Simulates a verbal fluency binary response matrix
Description
Simulates verbal fluency data based on the number of
nodes in the desired network. The summed total of
each response is simulated from a poisson distribution
(see rpois), using frequencies from the
animals.freq data. Using these
sums, participants responses are simulated with a probability of giving
a response as the total of the summed response over the number of participants.
Usage
sim.fluency(nodes, cases, random = FALSE)
Arguments
nodes
Numeric.
Number of nodes to simulate in data.
Defaults to 100
cases
Numeric.
Number of participants to simulate in data.
Defaults to 500
random
Boolean.
Should the frequencies be randomly sampled from?
Defaults to FALSE.
Value
A binary matrix with p (participants) by n (nodes)
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
# Simulate data for 50 nodes and 200 participants
sim.fluency(nodes = 50, cases = 200)
AlexChristensen/SemNeT documentation built on Aug. 21, 2023, 11:01 p.m.
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| sim.fluency | R Documentation |
Simulates a verbal fluency binary response matrix
Description
Simulates verbal fluency data based on the number of
nodes in the desired network. The summed total of
each response is simulated from a poisson distribution
(see rpois), using frequencies from the
animals.freq data. Using these
sums, participants responses are simulated with a probability of giving
a response as the total of the summed response over the number of participants.
Usage
sim.fluency(nodes, cases, random = FALSE)
Arguments
nodes |
Numeric.
Number of nodes to simulate in data.
Defaults to |
cases |
Numeric.
Number of participants to simulate in data.
Defaults to |
random |
Boolean.
Should the frequencies be randomly sampled from?
Defaults to |
Value
A binary matrix with p (participants) by n (nodes)
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
Examples
# Simulate data for 50 nodes and 200 participants
sim.fluency(nodes = 50, cases = 200)
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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