runGraflex: Permute FDR for Multiple Concepts
In tpq/propr: An R package to calculate proportionality and other measures for compositional data
View source: R/2d-propd-graflex.R
runGraflex R Documentation
Permute FDR for Multiple Concepts
Description
This function calls permuteOR for each
concept (i.e., column) in the database K.
Usage
runGraflex(A, K, p = 500, fixseed = FALSE)
Arguments
A
An adjacency matrix.
K
A knowledge database where each row is a graph node
and each column is a concept.
p
An integer. The number of overlaps to permute.
fixseed
A logical. If TRUE, the seed is fixed
for reproducibility.
Details
For each concept, this function calculates the
false discovery rate (FDR) by counting the number of
times the actual OR was greater than
(or less than) a permuted OR.
tpq/propr documentation built on April 21, 2024, 12:50 p.m.
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View source: R/2d-propd-graflex.R
| runGraflex | R Documentation |
Permute FDR for Multiple Concepts
Description
This function calls permuteOR for each
concept (i.e., column) in the database K.
Usage
runGraflex(A, K, p = 500, fixseed = FALSE)
Arguments
A |
An adjacency matrix. |
K |
A knowledge database where each row is a graph node and each column is a concept. |
p |
An integer. The number of overlaps to permute. |
fixseed |
A logical. If |
Details
For each concept, this function calculates the false discovery rate (FDR) by counting the number of times the actual OR was greater than (or less than) a permuted OR.
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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