Object returned by
uncertMC calls and by
summary.uncertMC is currently an alias for
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An object of class
Number of digits to display in budget and (if present) distribution parameter lists.
If TRUE, strings in uncertainty budget are right-justified.
This differs from the default in
Other parameters passed to
An object of class "uncertMC" inherits from class "uncert". In addition to the contents of the "uncert" object, it contains the results from the MC replication as a list MC. The complete description is:
The matched call
The expression, formula or function supplied to
The uncertainty evaluation method used (always 'MC').
The number of Monte Carlo replicates used.
A data frame consisting of:
The starting values
The standard uncertainties in input quantities (originally provided as
The degrees of freedom asscociated with
Sensitivity coefficients estimated from the MC output (see
for how this is done).
If available, a named list of the distributions associated with
The list contains either root nams of distribution functions (e.g
If available, a list of lists of parameters describing the
distributions associated with
If supplied, any relevant parameters other than those in
(typically addditional constants passed to function or expression methods)
The covariance matrix used
The correlation matrix used
A data frame of covariances between x and y. The Row names correspond
to the correlation method used. For
uncertMC objects only
"pearson" is currently supported (because
take a very long time to compute)
A data frame of correlations between x and y, of the same form as
A list containing:
The value of
uncertMC was called.
B Monte Carlo replicates of the standard uncertainty
uncertMC is called with
keep.x=TRUE, a data frame
whose columns are the Monte Carlo replicates of the variables in
summary methods invisibly return the original object.
The print method provides a formatted printout of the object. By default,
simplify=TRUE; this displays a shortened listing. Columns in
suppressed if all NA.
summary is currently an alias for the print method.
S. L. R. Ellison email@example.com
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