plot.summary.uncertainty {uncertainty} | R Documentation |
Plots an uncertainty summary. It shows the uncertainty contribution from each involved quantity
Description
Builds a barplot with a bar for each source of uncertainty. If correlation is present then an additional entry is added. The current metric used to display is When correlation is present its contribution may be negative.
Usage
## S3 method for class 'summary.uncertainty'
plot(x, y = NULL, ...)
Arguments
x |
an uncertainty summary object |
y |
not used. |
... |
additional parameters to customize the plot |
Details
none
Value
None (invisible NULL)
Note
none
Author(s)
H. Gasca-Aragon
Maintainer: H. Gasca-Aragon <hugo_gasca_aragon@hotmail.com>
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
See Also
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)
# 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))
# create an uncertainty summary object
GFO.sum<- summary(GFO.res)
# display the chart
## Not run: plot(GFO.sum)
[Package uncertainty version 0.2.0 Index]