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This function generates a co-upper partial moment between two equal length variables for any degree or target.
Co.UPM(degree_upm, x, y, target_x, target_y)
Co-UPM of two variables
integer; Degree for upper variations of both variable X and Y. (degree_upm = 0) is frequency, (degree_upm = 1) is area.
(degree_upm = 0)
(degree_upm = 1)
a numeric vector. data.frame or list type objects are not permissible.
a numeric vector of equal length to x. data.frame or list type objects are not permissible.
x
numeric; Target for upside deviations of variable X. Typically the mean of Variable X for classical statistics equivalences, but does not have to be.
numeric; Target for upside deviations of variable Y. Typically the mean of Variable Y for classical statistics equivalences, but does not have to be.
Fred Viole, OVVO Financial Systems
Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" (ISBN: 1490523995)
set.seed(123) x <- rnorm(100) ; y <- rnorm(100) Co.UPM(0, x, y, mean(x), mean(y))
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