Description Usage Arguments Details Note Author(s) References See Also Examples
In a Whiskers Chart, the high and low data values and the average (median) by
part-by-operator are plotted to provide insight into the consistency between operators,
to indicate outliers and to discover part-operator interactions. The Whiskers Chart
reminds of boxplots for every part and every operator.
1 |
x |
needs to be an object of class |
main |
a main title for the plot |
xlab |
a label for the x axis |
ylab |
a label for the y axis |
col |
plotting color |
ylim |
the y limits of the plot |
legend |
a logical value specifying whether a legend is plotted automatically. By default |
... |
arguments to be passed to methods, such as graphical parameters (see |
Graphical parameters such as col
or pch
can be given as single characters or as
vectors containing characters or number for the parameters of the individual operators.
Please do read the vignette for the package qualityTools
at http://www.r-qualitytools.org.
Thomas Roth: thomas.roth@tu-berlin.de
Etienne Stockhausen: stocdarf@mailbox.tu-berlin.de
The idea of the plot and the example given by example(whiskersPlot)
are out of:
CHRYSLER Group LLC; FORD Motor Company; GENERAL MOTORS Corporation: Measurement System Analysis (MSA),
p.111, 4rd ed. Southfield: AIAG, 2010.
gageRR
par
http://www.r-qualitytools.org
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | # create gageRR-object
gdo = gageRRDesign(Operators = 3, Parts = 10, Measurements = 3,
randomize = FALSE)
# vector of responses
y = c(0.29,0.08, 0.04,-0.56,-0.47,-1.38,1.34,1.19,0.88,0.47,0.01,0.14,-0.80,
-0.56,-1.46, 0.02,-0.20,-0.29,0.59,0.47,0.02,-0.31,-0.63,-0.46,2.26,
1.80,1.77,-1.36,-1.68,-1.49,0.41,0.25,-0.11,-0.68,-1.22,-1.13,1.17,0.94,
1.09,0.50,1.03,0.20,-0.92,-1.20,-1.07,-0.11, 0.22,-0.67,0.75,0.55,0.01,
-0.20, 0.08,-0.56,1.99,2.12,1.45,-1.25,-1.62,-1.77,0.64,0.07,-0.15,-0.58,
-0.68,-0.96,1.27,1.34,0.67,0.64,0.20,0.11,-0.84,-1.28,-1.45,-0.21,0.06,
-0.49,0.66,0.83,0.21,-0.17,-0.34,-0.49,2.01,2.19,1.87,-1.31,-1.50,-2.16)
# appropriate responses
response(gdo)=y
# perform and gageRR
gdo=gageRR(gdo)
whiskersPlot(gdo)
|
Loading required package: Rsolnp
Loading required package: MASS
Attaching package: 'qualityTools'
The following object is masked from 'package:stats':
sigma
AnOVa Table - crossed Design
Df Sum Sq Mean Sq F value Pr(>F)
Operator 2 3.17 1.584 34.440 1.09e-10 ***
Part 9 88.36 9.818 213.517 < 2e-16 ***
Operator:Part 18 0.36 0.020 0.434 0.974
Residuals 60 2.76 0.046
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
----------
AnOVa Table Without Interaction - crossed Design
Df Sum Sq Mean Sq F value Pr(>F)
Operator 2 3.17 1.584 39.62 1.34e-12 ***
Part 9 88.36 9.818 245.61 < 2e-16 ***
Residuals 78 3.12 0.040
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
----------
Gage R&R
VarComp VarCompContrib Stdev StudyVar StudyVarContrib
totalRR 0.0914 0.0776 0.302 1.81 0.279
repeatability 0.0400 0.0339 0.200 1.20 0.184
reproducibility 0.0515 0.0437 0.227 1.36 0.209
Operator 0.0515 0.0437 0.227 1.36 0.209
Operator:Part 0.0000 0.0000 0.000 0.00 0.000
Part to Part 1.0864 0.9224 1.042 6.25 0.960
totalVar 1.1779 1.0000 1.085 6.51 1.000
---
* Contrib equals Contribution in %
**Number of Distinct Categories (truncated signal-to-noise-ratio) = 4
NULL
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