Function to create error Charts

Share:

Description

The data from an object of class gageRR can be analyzed by running “Error Charts”
of the individual deviations from the accepted rference values. These “Error Charts” are provided by
the function errorPlot.

Usage

1
errorPlot(x, main, xlab, ylab, col, pch, type, 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.

pch

an integer specifying a symbol or a single character to be used as the default in plotting points.

type

graphical parameter (see plot).

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

The plotted values are can be calculated in two ways:

  • Error = Observed Value - Reference Value (not yet implemented)

  • Error = Observed Value - Average Measurement of Part

The first way is not yet implemented, because it is not yet possible to give a refrence value to the object in x.
This will be implemented later! Therefore errorPlot uses the second way above to calculate the plotted error.

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.

Note

Please do read the vignette for the package qualityTools at http://www.r-qualitytools.org.

Author(s)

Thomas Roth: thomas.roth@tu-berlin.de
Etienne Stockhausen: stocdarf@mailbox.tu-berlin.de

References

The idea of the plot and the example given by example(errorPlot) are out of:

  • CHRYSLER Group LLC; FORD Motor Company; GENERAL MOTORS Corporation: Measurement System Analysis (MSA),
    p.112, 4rd ed. Southfield: AIAG, 2010.

See Also

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
#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)                                                                    
errorPlot(gdo)                                                            

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.