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,]