as.gmCgram.variogramModelList {gmGeostats} | R Documentation |
Convert theoretical structural functions to gmCgram format
Description
Convert covariance function or variogram models to the format gmCgram of package gmGeostats
Usage
## S3 method for class 'variogramModelList'
as.gmCgram(m, ...)
## S3 method for class 'variogramModel'
as.gmCgram(m, ...)
## S3 method for class 'LMCAnisCompo'
as.gmCgram(
m,
V = attr(m, "contrasts"),
orignames = rownames(m["sill", 1]$sill),
...
)
as.gmCgram(m, ...)
## Default S3 method:
as.gmCgram(m, ...)
Arguments
m |
model to be converted |
... |
further parameters |
V |
original logratio matrix used in the definition of "LMCAnisCompo" |
orignames |
original variable names of the composition |
Value
the covariance/variogram model, recasted to class gmCgram
.
This is a generic function. Methods exist for objects of class
LMCAnisCompo
(for compositional data) and variogramModelList
(as provided by package gstat
).
Methods (by class)
-
variogramModelList
: Convert theoretical structural functions to gmCgram format -
variogramModel
: Convert theoretical structural functions to gmCgram format -
LMCAnisCompo
: method for "LMCAnisCompo" variogram model objects -
default
: Convert theoretical structural functions to gmCgram format
See Also
Other gmCgram functions:
[.gmCgram()
,
[[.gmCgram()
,
as.function.gmCgram()
,
length.gmCgram()
,
ndirections()
,
plot.gmCgram()
,
variogramModelPlot()