cosineDist: Compute the cosine distance of two vectors
In YAPSA: Yet Another Package for Signature Analysis
Description
Usage
Arguments
Value
Examples
View source: R/basic_functions.R
Description
Compute the cosine distance of two vectors
Usage
1
cosineDist(a, b)
Arguments
a, b
Numerical vectors of same length
Value
The scalar product of the two input vectors divided by the
product of the norms of the two input vectors
Examples
1
2
3
4
5
6
## 1. Orthogonal vectors:
cosineDist(c(1,0),c(0,1))
## 2. Non-orthogonal vectors:
cosineDist(c(1,0),c(1,1))
## Compare trigonometry:
1-cos(pi/4)
YAPSA documentation built on Nov. 8, 2020, 4:59 p.m.
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Description Usage Arguments Value Examples
View source: R/basic_functions.R
Description
Compute the cosine distance of two vectors
Usage
1 | cosineDist(a, b)
|
Arguments
a, b |
Numerical vectors of same length |
Value
The scalar product of the two input vectors divided by the product of the norms of the two input vectors
Examples
1 2 3 4 5 6 | ## 1. Orthogonal vectors:
cosineDist(c(1,0),c(0,1))
## 2. Non-orthogonal vectors:
cosineDist(c(1,0),c(1,1))
## Compare trigonometry:
1-cos(pi/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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