sim_length: Compute similarity based on length to assign each subject to...
In trang1618/tdapseudotime: Temporal Phenotyping via Topological Data Analysis and Pseudo Time
Description
Usage
Arguments
Value
Examples
Description
Compute similarity based on length to assign each subject to
most similar trajectory
Usage
1
sim_length(x, y)
Arguments
x
Numeric vector of node numbers
indicating an individual's trajectory
y
Numeric vector of node numbers
indicating a general trajectory
Value
A scalar as measure of similarity
Examples
1
sim_length(c(1,2), c(1,3,4))
trang1618/tdapseudotime documentation built on Feb. 9, 2021, 6:14 p.m.
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Description Usage Arguments Value Examples
Description
Compute similarity based on length to assign each subject to most similar trajectory
Usage
1 | sim_length(x, y)
|
Arguments
x |
Numeric vector of node numbers indicating an individual's trajectory |
y |
Numeric vector of node numbers indicating a general trajectory |
Value
A scalar as measure of similarity
Examples
1 | sim_length(c(1,2), c(1,3,4))
|
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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