| 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()