pearson.dist: Distance based on Pearson's R squared
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pearson.dist R Documentation
Distance based on Pearson's R^2
Description
The calculated distance is
D^2 = \frac{1 - COR (\code{x}')}{2}
Usage
pearson.dist(x)
Arguments
x
a matrix
Details
The distance between the rows of x is calculated. The possible
values range from 0 (prefectly correlated) over 0.5 (uncorrelated) to 1
(perfectly anti-correlated).
Value
distance matrix (distance object)
Author(s)
C. Beleites
References
S. Theodoridis and K. Koutroumbas: Pattern Recognition, 3rd ed., p. 495
See Also
as.dist
Examples
pearson.dist (flu [[]])
pearson.dist (flu)
hyperSpec documentation built on May 29, 2024, 7:28 a.m.
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| pearson.dist | R Documentation |
Distance based on Pearson's R^2
Description
The calculated distance is
D^2 = \frac{1 - COR (\code{x}')}{2}
Usage
pearson.dist(x)
Arguments
x |
a matrix |
Details
The distance between the rows of x is calculated. The possible
values range from 0 (prefectly correlated) over 0.5 (uncorrelated) to 1
(perfectly anti-correlated).
Value
distance matrix (distance object)
Author(s)
C. Beleites
References
S. Theodoridis and K. Koutroumbas: Pattern Recognition, 3rd ed., p. 495
See Also
as.dist
Examples
pearson.dist (flu [[]])
pearson.dist (flu)
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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