correlation_central_element: Determine the most similar of a list of elements to all other...
In Benjamin-Vincent-Lab/binfotron: Binfotron Bioinformatics Analysis Tools Suite
correlation_central_element R Documentation
Determine the most similar of a list of elements to all other elements in the list based on a correlation matrix
Description
Calculates maximum similarity/correlation between any single element of group and all other elements
Usage
correlation_central_element(correlation_data, elements)
Arguments
correlation_data
Data.frame or matrix of similarity scores / correlations containing at a minimum all elements. This df should be symmetrical - i.e. have equivalent values for row A to column B and row B to column A
elements
Character vector of the set of elements ( i.e. features ) from which to determine greatest similarity. Values must be a subset of correlation_data row and column names
Value
Returns the name of the element that is most similar to all other elements in the set
Benjamin-Vincent-Lab/binfotron documentation built on Oct. 1, 2024, 8:33 p.m.
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| correlation_central_element | R Documentation |
Determine the most similar of a list of elements to all other elements in the list based on a correlation matrix
Description
Calculates maximum similarity/correlation between any single element of group and all other elements
Usage
correlation_central_element(correlation_data, elements)
Arguments
correlation_data |
Data.frame or matrix of similarity scores / correlations containing at a minimum all elements. This df should be symmetrical - i.e. have equivalent values for row A to column B and row B to column A |
elements |
Character vector of the set of elements ( i.e. features ) from which to determine greatest similarity. Values must be a subset of correlation_data row and column names |
Value
Returns the name of the element that is most similar to all other elements in the set
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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