Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

pearson.dist

Distance based on Pearson's R squared

Description

The calculated distance is D^2 = (1 - COR (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

Examples

pearson.dist (flu [[]])
pearson.dist (flu)
hyperSpec

Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

v0.100.0
GPL (>= 3)
Authors
Claudia Beleites [aut, cre, dtc] (<https://orcid.org/0000-0003-1626-154X>), Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan A. Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]
Initial release
2021-09-13

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.