dot-wassPermProcedure: Permutation procedure that calculates the squared...
In goncalves-lab/waddR: Statistical tests for detecting differential distributions based on the 2-Wasserstein distance
.wassPermProcedure R Documentation
Permutation procedure that calculates the squared 2-Wasserstein distances for
random shuffles of two input samples representing two conditions
Description
Permutation procedure that calculates the squared 2-Wasserstein distances for
random shuffles of two input samples representing two conditions A and B, respectively (i.e. the elements of the pooled sample vector are randomly assigned to either condition A or condition B, where the sample sizes are as in the original samples).
Usage
.wassPermProcedure(x, y, permnum)
Arguments
x
sample (vector) representing the distribution of
condition A
y
sample (vector) representing the distribution of
condition B
permnum
number of permutations to be
performed
Value
Vector with squared 2-Wasserstein distances computed for random
shuffles of the two input samples
goncalves-lab/waddR documentation built on June 29, 2023, 12:18 a.m.
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| .wassPermProcedure | R Documentation |
Permutation procedure that calculates the squared 2-Wasserstein distances for random shuffles of two input samples representing two conditions
Description
Permutation procedure that calculates the squared 2-Wasserstein distances for
random shuffles of two input samples representing two conditions A and B, respectively (i.e. the elements of the pooled sample vector are randomly assigned to either condition A or condition B, where the sample sizes are as in the original samples).
Usage
.wassPermProcedure(x, y, permnum)
Arguments
x |
sample (vector) representing the distribution of
condition |
y |
sample (vector) representing the distribution of
condition |
permnum |
number of permutations to be performed |
Value
Vector with squared 2-Wasserstein distances computed for random shuffles of the two input samples
R Package Documentation
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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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