compute_correlation_distance: Compute correlation distance with zero-variance safeguards
In ggpicrust2: Make 'PICRUSt2' Output Analysis and Visualization Easier
View source: R/pathway_heatmap.R
compute_correlation_distance R Documentation
Compute correlation distance with zero-variance safeguards
Description
Compute correlation distance with zero-variance safeguards
Usage
compute_correlation_distance(values, method = "pearson", item_label = "items")
Arguments
values
Numeric matrix with items in rows and variables in columns
method
Correlation method passed to stats::cor
item_label
Human-readable item label for messages
Value
A dist object equal to 1 - correlation
ggpicrust2 documentation built on Oct. 7, 2026, 1:07 a.m.
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View source: R/pathway_heatmap.R
| compute_correlation_distance | R Documentation |
Compute correlation distance with zero-variance safeguards
Description
Compute correlation distance with zero-variance safeguards
Usage
compute_correlation_distance(values, method = "pearson", item_label = "items")
Arguments
values |
Numeric matrix with items in rows and variables in columns |
method |
Correlation method passed to stats::cor |
item_label |
Human-readable item label for messages |
Value
A dist object equal to 1 - 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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