View source: R/print.uncertainty.R
| print.uncertainty | R Documentation |
Displays the estimated value of the output quantity of the measurement model, its standard deviation, its standard uncertainty, the degrees of freedom and the significance level and an CI with that significance level.
## S3 method for class 'uncertainty'
print(x, ...)
x |
an uncertainty object |
... |
additional parameters |
none
None (invisible NULL)
none
Hugo Gasca-Aragon
Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>
JCGM 200:2012. International vocabulary of metrology—Basic and general concepts and associated terms (VIM)
JCGM 100:2008. Guide to the expression of uncertainty of measurement
JCGM 100:2005. Supplement 1 Propagation of distributions usign a Monte Carlo method
EURACHEM/CITAC Guide CG 4. Quantifying Uncertainty in Analytical Measurement
Becker, R.A., Chambers, J.M. and Wilks, A.R. (1988) The New S Language. Wadsworth & Brooks/Cole.
uncertainty.default, print
# create an uncertainty budget
cor.mat <- matrix(c(1, -0.7, -0.7, 1), 2, 2)
u.budget <- uncertaintyBudget(x = list(name = c("x0", "x1"),
mean = c(10, 20), unit = c("kg", "kg"), u = c(1, 5), dof = c(10, 10),
label = c("x[0]", "x[1]"), distribution = c("normal", "normal"),
description = c("measurand mass", "sample mass"),
type = c("A", "A")),
y = cor.mat)
u.budget
# estimate the measurand uncertainty using an uncertainty budget,
# a measurand definition and a selected estimating method.
GFO.res <- uncertainty(x = u.budget,
y = list(measurand_name = "ratio.GFO",
measurand_label = "ratio[GFO]",
measurand_model = "x0/x1",
measurand_description = "ratio of masses at 20 degrees celsius",
method = "GFO", alpha = 0.05))
# implicit call to print method
GFO.res
# same as
print(GFO.res)
# structure of an uncertainty estimation object
attributes(GFO.res)
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