This method function calculates the semi-variogram for the residuals
from a gls fit. The semi-variogram values are calculated for
pairs of residuals within the same group level, if a grouping factor
is present. If collapse is different from "none", the
individual semi-variogram values are collapsed using either a robust
estimator (robust = TRUE) defined in Cressie (1993), or the
average of the values within the same distance interval. The
semi-variogram is useful for modeling the error term correlation
structure.
# S3 method for gls
Variogram(object, distance, form, resType, data,
na.action, maxDist, length.out, collapse, nint, breaks,
robust, metric, …)an object inheriting from class "gls", representing
a generalized least squares fitted model.
an optional numeric vector with the distances between
residual pairs. If a grouping variable is present, only the
distances between residual pairs within the same group should be
given. If missing, the distances are calculated based on the
values of the arguments form, data, and
metric, unless object includes a corSpatial
element, in which case the associated covariate (obtained with the
getCovariate method) is used.
an optional one-sided formula specifying the covariate(s)
to be used for calculating the distances between residual pairs and,
optionally, a grouping factor for partitioning the residuals (which
must appear to the right of a | operator in
form). Default is ~1, implying that the observation
order within the groups is used to obtain the distances.
an optional character string specifying the type of
residuals to be used. If "response", the "raw" residuals
(observed - fitted) are used; else, if "pearson", the
standardized residuals (raw residuals divided by the corresponding
standard errors) are used; else, if "normalized", the
normalized residuals (standardized residuals pre-multiplied by the
inverse square-root factor of the estimated error correlation
matrix) are used. Partial matching of arguments is used, so only the
first character needs to be provided. Defaults to "pearson".
an optional data frame in which to interpret the variables
in form. By default, the same data used to fit object
is used.
a function that indicates what should happen when the
data contain NAs. The default action (na.fail) causes
an error message to be printed and the function to terminate, if there
are any incomplete observations.
an optional numeric value for the maximum distance used for calculating the semi-variogram between two residuals. By default all residual pairs are included.
an optional integer value. When object
includes a corSpatial element, its semi-variogram values are
calculated and this argument is used as the length.out
argument to the corresponding Variogram method. Defaults to
50.
an optional character string specifying the type of
collapsing to be applied to the individual semi-variogram values. If
equal to "quantiles", the semi-variogram values are split
according to quantiles of the distance distribution, with equal
number of observations per group, with possibly varying distance
interval lengths. Else, if "fixed", the semi-variogram values
are divided according to distance intervals of equal lengths, with
possibly different number of observations per interval. Else, if
"none", no collapsing is used and the individual
semi-variogram values are returned. Defaults to "quantiles".
an optional integer with the number of intervals to be
used when collapsing the semi-variogram values. Defaults to 20.
an optional logical value specifying if a robust
semi-variogram estimator should be used when collapsing the
individual values. If TRUE the robust estimator is
used. Defaults to FALSE.
an optional numeric vector with the breakpoints for the
distance intervals to be used in collapsing the semi-variogram
values. If not missing, the option specified in collapse is
ignored.
an optional character string specifying the distance
metric to be used. The currently available options are
"euclidean" for the root sum-of-squares of distances;
"maximum" for the maximum difference; and "manhattan"
for the sum of the absolute differences. Partial matching of
arguments is used, so only the first three characters need to be
provided. Defaults to "euclidean".
some methods for this generic require additional arguments. None are used in this method.
a data frame with columns variog and dist representing,
respectively, the semi-variogram values and the corresponding
distances. If the semi-variogram values are collapsed, an extra
column, n.pairs, with the number of residual pairs used in each
semi-variogram calculation, is included in the returned data frame. If
object includes a corSpatial element, a data frame with
its corresponding semi-variogram is included in the returned value, as
an attribute "modelVariog". The returned value inherits from
class Variogram.
Cressie, N.A.C. (1993), "Statistics for Spatial Data", J. Wiley & Sons.
gls,
Variogram,
Variogram.default,
Variogram.lme,
plot.Variogram
# NOT RUN {
fm1 <- gls(weight ~ Time * Diet, BodyWeight)
Variogram(fm1, form = ~ Time | Rat)[1:10,]
# }
Run the code above in your browser using DataLab