manhattan_norm: Normalised Manhattan distance
In Swarchal/phenoDist: Distance Measurements in Phenotypic Screening
Description
Usage
Arguments
Value
Examples
Description
Manhattan distance normalised by the length of the vectors. This is the sum
of the absolute difference between two vectors divided by the length of the
vectors. i.e a <- c(1,2,3); b <- c(3,2,1) ; manhattan(a, b)/3
Usage
1
manhattan_norm(x, y)
Arguments
x
numeric vector
y
numeric vector
Value
numeric distance metric
Examples
1
2
3
4
a <- c(1,2,3,4,2,13,2)
b <- c(1,2,4,5,3,23,0)
manhattan_norm(a, b)
Swarchal/phenoDist documentation built on May 9, 2019, 3:25 p.m.
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Description Usage Arguments Value Examples
Description
Manhattan distance normalised by the length of the vectors. This is the sum
of the absolute difference between two vectors divided by the length of the
vectors. i.e a <- c(1,2,3); b <- c(3,2,1) ; manhattan(a, b)/3
Usage
1 | manhattan_norm(x, y)
|
Arguments
x |
numeric vector |
y |
numeric vector |
Value
numeric distance metric
Examples
1 2 3 4 | a <- c(1,2,3,4,2,13,2)
b <- c(1,2,4,5,3,23,0)
manhattan_norm(a, b)
|
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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