jaccard


Calculates jaccard index between two vectors of features.
In brief, the closer to 1 the more similar the vectors.  The two vectors
may have an arbitrary cardinality (i.e. don't need same length).  Also
known as the Tanimoto distance metric.  Defined as the size of the vectors'
intersection divided by the size of the union of the vectors.


Tools for classification and feature selection for 'omics' level
datasets.  It is a tool to provide multiple multivariate classification
and feature selection techniques complete with multiple stability metrics
and aggregation techniques.  It is primarily designed for analysis of
metabolomics datasets but potentially extendable to proteomics and
transcriptomics applications.

Charles Jr

OmicsMarkeR

Classification and Feature Selection for 'Omics' Datasets

jaccard function

Calculates jaccard index between two vectors of features.
In brief, the closer to 1 the more similar the vectors.  The two vectors
may have an arbitrary cardinality (i.e. don't need same length).  Also
known as the Tanimoto distance metric.  Defined as the size of the vectors'
intersection divided by the size of the union of the vectors.

jaccard: Jaccard Index

Description

Usage

Arguments

Value

References

See Also

Examples