Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/plot.uncertainty.R
Plot a probability density function attributed to the measurand, depending on the selected method to estimate the uncertainty.
1 2 3 4 |
x |
An uncertainty object |
y |
not used, exists only for compatibility with the S3 generic function. |
xlab |
string or expression, label for the x-axis. |
main |
string or expression, label for the plot. |
ylab |
string or expression, label for the y-axis. |
from |
numeric, lower value of the x-axis to display. |
to |
numeric, upper valur of the x-axis to display. |
lwd |
numeric, line width. |
add |
logic, decides to add the curve into an existing plot or to create a new plot. |
... |
additional parameters. |
none
None (invisible NULL)
none
H. Gasca-Aragon
Maintainer: H. Gasca-Aragon <hugo_gasca_aragon@hotmail.com>
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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # 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))
# plot the estimated pdf of the measurand
## Not run: plot(GFO.res)
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