automotive: Automotive bivariate dataset
In mpcv: Multivariate Process Capability Vector
Description
Usage
Format
References
Examples
Description
The dataset describing the problem of automatic screwing the car wheels. Two characteristics are observed: the torque T of tightening a screw, and the rotation angle A of the screw until the necessary value of the torque is acquired.
Usage
1
data("automotive")
Format
A list containing:
xa matrix with 47 observations and two quality characteristics T and A,
USLthe vector of the upper specification limits,
LSLthe vector of the lower specification limits,
Targetthe vector of the target.
References
Ciupke K. (2014)
Examples
1
2
3
4
5
data("automotive")
x <- automotive$x
LSL <- automotive$LSL
USL <- automotive$USL
Target <- automotive$Target
mpcv documentation built on May 2, 2019, 8:50 a.m.
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Description Usage Format References Examples
Description
The dataset describing the problem of automatic screwing the car wheels. Two characteristics are observed: the torque T of tightening a screw, and the rotation angle A of the screw until the necessary value of the torque is acquired.
Usage
1 | data("automotive")
|
Format
A list containing:
xa matrix with 47 observations and two quality characteristics
TandA,USLthe vector of the upper specification limits,
LSLthe vector of the lower specification limits,
Targetthe vector of the target.
References
Ciupke K. (2014)
Examples
1 2 3 4 5 | data("automotive")
x <- automotive$x
LSL <- automotive$LSL
USL <- automotive$USL
Target <- automotive$Target
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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