knn_dist.default: Default Method for K-Nearest Neighbors Distance
In COHHIO/clarity.looker: A package for retrieve HMIS data and HUD Export items from the BitFocus Clarity Looker API
knn_dist.default R Documentation
Default Method for K-Nearest Neighbors Distance
Description
Computes the distance between two numeric vectors using the logarithmic difference.
Usage
## Default S3 method:
knn_dist(x, y)
Arguments
x
A numeric vector.
y
A numeric vector.
Details
This method calculates the logarithmic difference between elements of x and y. Note that this method assumes x and y are numeric and may produce warnings if there are negative values or zero.
Value
A numeric vector of distances between the elements of x and y, calculated as log(x - y).
COHHIO/clarity.looker documentation built on Sept. 6, 2024, 1:47 a.m.
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.
| knn_dist.default | R Documentation |
Default Method for K-Nearest Neighbors Distance
Description
Computes the distance between two numeric vectors using the logarithmic difference.
Usage
## Default S3 method:
knn_dist(x, y)
Arguments
x |
A numeric vector. |
y |
A numeric vector. |
Details
This method calculates the logarithmic difference between elements of x and y. Note that this method assumes x and y are numeric and may produce warnings if there are negative values or zero.
Value
A numeric vector of distances between the elements of x and y, calculated as log(x - y).
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.