parCor: Parallelized correlation
In NMikolajewicz/scMiko: scRNAseq analysis functions. Developed using Seurat framework.
View source: R/utility_functions.R
parCor R Documentation
Parallelized correlation
Description
Parallelized correlation
Usage
parCor(mat, method = "spearman", do.par = T, n.workers = 4)
Arguments
method
Correlation method, a character. Options: 'pearson' or 'spearman'.
do.par
Logical indicating whether to use parallel implementation. Default is T.
n.workers
number of workers to use for parallel computation.
max
matrix
Author(s)
Nicholas Mikolajewicz
NMikolajewicz/scMiko documentation built on June 28, 2023, 1:41 p.m.
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View source: R/utility_functions.R
| parCor | R Documentation |
Parallelized correlation
Description
Parallelized correlation
Usage
parCor(mat, method = "spearman", do.par = T, n.workers = 4)
Arguments
method |
Correlation method, a character. Options: 'pearson' or 'spearman'. |
do.par |
Logical indicating whether to use parallel implementation. Default is T. |
n.workers |
number of workers to use for parallel computation. |
max |
matrix |
Author(s)
Nicholas Mikolajewicz
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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