The methods below allow for the construction of individual objects of
class "crudeMonteCarlo
" when applied to individual
"Stem
" subclass objects. Alternatively, the second
constructor can be applied to a collection of
"Stem
" subclass objects and will return an
appropriate collection of "crudeMonteCarlo
"
objects (see, e.g., the "mcsContainer
" class).
signature(object = "Stem")
usage...
crudeMonteCarlo(object, segBnds = NULL, n.s = 1, startSeed = NA, u.s = NA, alphaLevel = 0.05, description = 'crude Monte Carlo', ... )
object
: An object of class
"downLog
" or
"standingTree
".
segBnds
: A vector of length two giving the lower and
upper height/length bounds for volume estimation within the
bole. These bounds correspond to the limits of integration
along the bole. If either of the bounds are NULL
or
NA
, the entire bole is used (default).
n.s
: The number of sampled heights desired within
segBnds
for volume estimation.
startSeed
: The scalar seed for the random number
generator used in the call to the class constructor. Please see
the documentation in initRandomSeed
for possible
values and their meaning.
u.s
: The uniform random numbers used in selecting
the sampling points along the bole. If this is either
NULL
or NA
, then n.s
and startSeed
will be used to determine the random numbers. If this is a
numeric vector, then n.s
is set to its length, and
u.s
is used as the random number stream. No checking is
done on the bounds of the numbers so be careful if using
the latter option. It is most useful in antithetic sampling
where the 1-u.s
stream is used (automatically).
alphaLevel
: The two-tailed alpha-level for
confidence interval construction.
description
: A character vector description of the
object.
signature(object = "StemContainer")
See the above definitions for the first method for arguments not shown below.
usage...
crudeMonteCarlo(object, segBnds = NULL, n.s = 1, startSeed = NA, u.s = NA, alphaLevel = 0.05, description = 'crude Monte Carlo', ...)
object
: A collection of "Stem"
class objects
in a valid "StemContainer
" object.
segBnds
: The segment bounds, see the definition for
the first method. Note: These bounds are used for all
stems in the collection, so it is up to you to make sure they
are legal for each stem.
n.s
: The number of sampled heights desired within
segBnds
for volume estimation on each stem in the
collection.
startSeed
: By default, the stream is started using
this seed (see above for the first method) and the current
random number stream is continued for each stem in the
collection. This results in a different set of random
numbers for each stem (but all keyed off this starting value).
u.s
: If this is NULL
or NA
, then the
n.s
and startSeed
combination are used as
above. However, if this is a vector, then it is applied to each
stem. Therefore, the same set of random numbers will be
applied to each stem in the collection.
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