print.summary.uncertainty: Displays a list with the uncertainty contribution from each...

In uncertainty: Uncertainty Estimation and Contribution Analysis

Description

For each input quantity (source of uncertainty) it shows the uncertainty contribution, measured in percent of variance of the measurand model.

Usage

## S3 method for class 'summary.uncertainty'
print(x, ...)

Arguments

x	An uncertainty summary object
...	Additional parameters

Details

none

Value

None (invisible NULL)

Note

none

Author(s)

H. Gasca-Aragon

Maintainer: H. Gasca-Aragon <[e-mail]>

References

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

summary.uncertainty, print

Examples

# 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), u=c(1,5), dof=c(10,10),
	label=c("x[0]", "x[1]"), distribution=c("normal","normal")), 
	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", method="GFO", alpha=0.05))

GFO.res

# create an uncertainty summary object
GFO.sum<- summary(GFO.res)

# implicit call to the print method
GFO.sum

# same as
print(GFO.sum)

# uncertainty summary structure
attributes(GFO.sum)

uncertainty documentation built on May 2, 2019, 7:03 a.m.