estimate1d creates an object of class estimate1d. The estimate of a one dimensional
variable is at minimum defined by the type of a univariate parametric distribution, the 5% - and
95% quantiles. Optionally, the median can be supplied.
as.estimate1d tries to transform an object to class estimate1d.
estimate1d(distribution, lower, upper, ...)as.estimate1d(x, ...)
An object of class estimate1d and list with at least (!) the elements:
| Element | R-type | Explanation |
distribution | character | Distribution type of the estimate |
lower | numeric | 5%-quantile of the estimate |
median | numeric or NULL | 50%-quantile of the estimate |
upper | numeric | 95%-quantile of the estimate |
Note that the median is a mandatory element of an estimate1d, although it
is not necessary as input. If median is numeric it holds that:
lower <= median <= upper. In any case an estimate1d object has the property
lower <= upper.
character: A character string that defines the type of the univariate
parametric distribution.
numeric: lower bound of the 90% confidence interval, i.e the 5%-quantile
of this estimate.
numeric: upper bound of the 90% confidence interval, i.e the 95%-quantile
of this estimate.
arguments that can be coerced to a list comprising further elements of the 1-d estimate (for details cf. below). Each element must be atomic and of length 1 (1-d property).
an object to be transformed to class estimate1d.
It must hold that lower <= upper.
| Argument | R-type | Explanation |
distribution | character | Distribution type of the estimate |
lower | numeric | 5%-quantile of the estimate |
upper | numeric | 95%-quantile of the estimate |
The optional parameters in ... provide additional characteristics of the 1-d estimate.
Frequent optional elements are:
| Argument | R-type | Explanation |
variable | character | Variable name |
median | cf. below | 50%-quantile of the estimate |
method | character | Method for calculation of distribution parameters |
medianIf supplied as input, median can be either NULL, numeric or the
character string "mean". If it is NA it is set to NULL; if it equals
"mean" it is set to mean(c(lower, upper)); if it is numeric it must
hold that lower <= median <= upper.
In case that no element median is provided, the default is median=NULL.
random.estimate1d