# plot.summary.uncertainty: Plots an uncertainty summary. It shows the uncertainty... In uncertainty: Uncertainty Estimation and Contribution Analysis

## 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

 ```1 2``` ```## 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

none

## Value

None (invisible NULL)

none

## Author(s)

H. Gasca-Aragon

Maintainer: H. Gasca-Aragon <[email protected]>

## 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

`summary.uncertainty`, `plot`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19``` ```# 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) ```