object, according to the distances in
distance.
For each pair of elements x,y in
object, the
corresponding semi-variogram is (x-y)^2/2. The semi-variogram is
useful for identifying and modeling spatial correlation structures in
observations with constant expectation and constant variance.
Variogram(object, distance)
object. The order of the
elements in
distance must correspond to the pairs
(1,2), (1,3), ..., (n-1,n), with
n representing the
length of
object, and must have length
n(n-1)/2.
variog and
dist representing,
respectively, the semi-variogram values and the corresponding
distances. The returned value inherits from class
Variogram.
Cressie, N.A.C. (1993), "Statistics for Spatial Data", J. Wiley & Sons.
fm1 <- lm(follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time), Ovary,
subset = Mare == 1)
Variogram(resid(fm1), dist(1:29))[1:10,]