outlier.detection.cosine {OutSeekR} | R Documentation |
Cosine similarity
Description
Compute cosine similarity for detection of outliers. Generate theoretical quantiles based on the optimal distribution of the data, and compute cosine similarity between a point made up of the largest observed quantile and the largest theoretical quantile and a point on the line y = x. .
Usage
outlier.detection.cosine(x, distribution)
Arguments
x |
A numeric vector. |
distribution |
A numeric code corresponding to the optimal distribution of |
Value
A number.
Examples
# Generate fake data.
set.seed(1234);
x <- rgamma(
n = 20,
shape = 2,
scale = 2
);
outlier.detection.cosine(
x = x,
distribution = 4
);
[Package OutSeekR version 1.0.0 Index]