as.gmCgram.variogramModelList | R Documentation |
Convert covariance function or variogram models to the format gmCgram of package gmGeostats
## 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, ...)
m |
model to be converted |
... |
further parameters |
V |
original logratio matrix used in the definition of "LMCAnisCompo" |
orignames |
original variable names of the composition |
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
).
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
Other gmCgram functions:
[.gmCgram()
,
[[.gmCgram()
,
as.function.gmCgram()
,
length.gmCgram()
,
ndirections()
,
plot.gmCgram()
,
variogramModelPlot()
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