qualityTools (version 1.55)

whiskersPlot: Function to create Whiskers Charts

Description

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.

Usage

whiskersPlot(x, main, xlab, ylab, col, ylim, legend=TRUE, ...)

Arguments

x

needs to be an object of class gageRR.

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 legend is set to ‘TRUE’. If the argument legend is set to ‘FALSE’ an individual legend can be added by using the function legend afterwards.

...

arguments to be passed to methods, such as graphical parameters (see par).

Details

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.

References

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.

See Also

gageRR par http://www.r-qualitytools.org

Examples

# 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)