The location estimate class contains output from a variety of estimators used in
the metRology package.
A print method is provided.
Usage
## S3 method for class 'loc.est':
print(x, ...)
Arguments
x
An object of class loc.est
...
Parameters passed to other functions. Currently unused.
Value
The print method is called for its side effect; no value is returned.
Details
An object of class loc.est is a list containing
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The effective uncertaintiesu.eff arise from some estimation methods (for example,
Mandel-Paule). These typically involve either the estimation of an additional variance term,
a scale adjustment to the output value uncertainty or (for example in the case of the
arithmetic mean) replacement of the initial individual uncertainties with some single
estimate based on the dispersion of values. These adjustments are usually equivalent to
replacing the estimator used with a weighted mean using weights $1/u_{eff}^2$.
The weight vector w is not equivalent to $1/u_{eff}^2$. Rather, it
gives the ratio of prior weights $1/u_{eff}^2$ to posterior weights, which combine
prior weights with some additional weighting. Posterior weights arise in particular when using
robust estimators, and are generally 1 otherwise. The returned location estimate in such cases
can be calculated as sum(w*x/(u^2))/sum(w/(u^2))).
method.details is an optional list that may contain anything from a short
summary of a scale factor or additional variance to a complete object (e.g. an rlm
object) returned by the function used to calculate the estimate.
## Cd heat of vapourisation example (see ?mpaule)x2<-c(27.044, 26.022, 26.340, 26.787, 26.796)
v<-c(3, 76, 464, 3, 14)*1e-3mp<-mpaule(x2, sqrt(v))
print(mp)