pairwiseDistance: Calculates the (normalized) Hamming or Jaccard distance of...
In KonstantinHoffmann/ABVDTools: Some useful tools for processing data from the ABVD database abvd.shh.mpg.de
View source: R/DistanceMatrix.R
Description
Calculates the (normalized) Hamming or Jaccard distance of two binary vectors. This can be used to compare two rows of an alignment matrix, where
a ? marks missing entries. If normalized=FALSE and removeZeroes=FALSE, this is the classical Hamming distance. If normalized=TRUE and
removeZeroes=TRUE, it is the Jaccard distance.
Usage
1
2
pairwiseDistance(x, y, normalized = TRUE, removeMissing = TRUE,
removeZeroes = FALSE)
Arguments
x
y
normalized
removeMissing
removeZeroes
KonstantinHoffmann/ABVDTools documentation built on Dec. 14, 2021, 11:48 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.
View source: R/DistanceMatrix.R
Description
Calculates the (normalized) Hamming or Jaccard distance of two binary vectors. This can be used to compare two rows of an alignment matrix, where a ? marks missing entries. If normalized=FALSE and removeZeroes=FALSE, this is the classical Hamming distance. If normalized=TRUE and removeZeroes=TRUE, it is the Jaccard distance.
Usage
1 2 | pairwiseDistance(x, y, normalized = TRUE, removeMissing = TRUE,
removeZeroes = FALSE)
|
Arguments
x |
|
y |
|
normalized |
|
removeMissing |
|
removeZeroes |
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.