A summary of the results of a Monte Carlo simulation obtained by the function
mcSimulation is produced.
# S3 method for mcSimulation
summary(object, ..., digits = max(3,
getOption("digits") - 3), variables.y = names(object$y),
variables.x = if (classicView) names(object$x), classicView = FALSE,
probs = c(0, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 1))An object of class mcSimulation.
Further arguments passed to summary.data.frame (classicView=TRUE)
or format (classicView=FALSE).
how many significant digits are to be used for
numeric and complex x. The default, NULL, uses
getOption("digits"). This is a suggestion: enough decimal
places will be used so that the smallest (in magnitude) number has
this many significant digits, and also to satisfy nsmall.
(For the interpretation for complex numbers see signif.)
character or character vector: Names of the components of the
simulation function (model_function), whose results shall be displayed. Defaults to all
components.
character or character vector: Names of the components of the
input variables to the simulation function, i.e. the names of the variables in the input
estimate, whose random sampling results shall be displayed. Defaults to all components.
logical: if TRUE the results are summarized using
summary.data.frame, if FALSE further output is produced and the quantile
information can be chosen. Cf. section Value and argument probs. Default is
FALSE.
numeric vector: quantiles that shall be displayed if
classicView=FALSE.
An object of class summary.mcSimulation.
mcSimulation, print.summary.mcSimulation, summary.data.frame