cosine: Cosine similarity
In EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
cosine R Documentation
Cosine similarity
Description
Computes cosine similarity
Usage
cosine(x, y = NULL, ...)
Arguments
x
Numeric vector, matrix, or data frame.
If nrow(x) > 1, then x will be treated as a matrix
to compute an n by n similarity matrix (y will not be used!)
y
Numeric vector, matrix, or data frame.
Only used if x is a single variable.
Used to compute similarity between one variable and n other variables.
Defaults to NULL
...
Not actually used but makes it easier for general functionality
in the package
Details
On missing values: 0 will be used to replace missing values.
When using (matrix) multiplication, the 0 value cancels out the
product rendering the missing value as "not counting" in the sums
Author(s)
Alexander P. Christensen <alexpaulchristensen@gmail.com>
Examples
# Load data
wmt <- wmt2[,7:24]
# Obtain cosines
wmt_cosine <- cosine(wmt)
EGAnet documentation built on Sept. 28, 2024, 9:06 a.m.
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| cosine | R Documentation |
Cosine similarity
Description
Computes cosine similarity
Usage
cosine(x, y = NULL, ...)
Arguments
x |
Numeric vector, matrix, or data frame.
If |
y |
Numeric vector, matrix, or data frame.
Only used if |
... |
Not actually used but makes it easier for general functionality in the package |
Details
On missing values: 0 will be used to replace missing values.
When using (matrix) multiplication, the 0 value cancels out the
product rendering the missing value as "not counting" in the sums
Author(s)
Alexander P. Christensen <alexpaulchristensen@gmail.com>
Examples
# Load data
wmt <- wmt2[,7:24]
# Obtain cosines
wmt_cosine <- cosine(wmt)
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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