CAB_samplers: For generating random samples
In Don-Li/CAB: The Computational Analysis of Behaviour
Description
Usage
srswo
mcdowell_sampling
Description
Documentation for samplers.
Usage
1
2
3
4
5
mcdowell_sampling(fitness, fitness_weights)
srswo(choose, repeats, sample_size)
srs(choose_max, repeats, sample_size)
srswo
Simple random sampling without replacemant and uniform selection probabilities
Usage
srswo( choose, repeats, sample_size )
Arguments
chooseNumeric vector of elements to choose from.
repeatsInteger. How many repeats for the sampling.
sample_sizeInteger. How many elements chosen per sample.
Value
Returns a matrix with the draws from each sample along the columns.
mcdowell_sampling
Sampling used in the supplementary material of McDowell (2013).
Usage
CAB.mcdowell_sampling( fitness, fitness_weights )
Arguments
fitnessNumeric vector of fitness values.
fitness_weightsNumeric vector of fitness weights.
Value
Returns a matrix with two columns and rows equal to the number of fitnss values. This matrix contains the indices of the values that are sampled. The indexing starts from zero.
Don-Li/CAB documentation built on May 6, 2019, 2:52 p.m.
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Description Usage srswo mcdowell_sampling
Description
Documentation for samplers.
Usage
1 2 3 4 5 | mcdowell_sampling(fitness, fitness_weights)
srswo(choose, repeats, sample_size)
srs(choose_max, repeats, sample_size)
|
srswo
Simple random sampling without replacemant and uniform selection probabilities
Usage
srswo( choose, repeats, sample_size )
Arguments
chooseNumeric vector of elements to choose from.
repeatsInteger. How many repeats for the sampling.
sample_sizeInteger. How many elements chosen per sample.
Value
Returns a matrix with the draws from each sample along the columns.
mcdowell_sampling
Sampling used in the supplementary material of McDowell (2013).
Usage
CAB.mcdowell_sampling( fitness, fitness_weights )
Arguments
fitnessNumeric vector of fitness values.
fitness_weightsNumeric vector of fitness weights.
Value
Returns a matrix with two columns and rows equal to the number of fitnss values. This matrix contains the indices of the values that are sampled. The indexing starts from zero.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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