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uncertainty (version 0.3.0)

print.uncertainty: Displays the detailed content of a measurement model including its uncertainty estimate.

Description

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.

Usage

# S3 method for uncertainty
print(x, ...)

Value

None (invisible NULL)

Arguments

x

an uncertainty object

...

additional parameters

Author

Hugo Gasca-Aragon

Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>

Details

none

References

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.

See Also

uncertainty.default, print

Examples

Run this code
# 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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