correlateSets: Column-wise correlation of two datasets
In HannahVMeyer/drStable: Estimating the stability of dimensionality reduction results
Description
Usage
Arguments
Value
Description
Column-wise correlation of two datasets
Usage
1
correlateSets(set1, set2, type = "spearman")
Arguments
set1
[M x D] matrix with M samples and D dimensionality reduced
data P
set2
[M x D] matrix with M samples and D dimensionality reduced
data P, with the same sample order as set1
type
type [string] of correlation to use, one of spearman or pearson
Value
named list with correlation coefficient (r) and p-value of
correlation (p) for each column-column correlation
HannahVMeyer/drStable documentation built on Jan. 29, 2021, 11:42 a.m.
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Description Usage Arguments Value
Description
Column-wise correlation of two datasets
Usage
1 | correlateSets(set1, set2, type = "spearman")
|
Arguments
set1 |
[M x D] matrix with M samples and D dimensionality reduced data P |
set2 |
[M x D] matrix with M samples and D dimensionality reduced data P, with the same sample order as set1 |
type |
type [string] of correlation to use, one of spearman or pearson |
Value
named list with correlation coefficient (r) and p-value of correlation (p) for each column-column correlation
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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