solar: Solar panel example from BHH2, Chapter 5, page 230
In pid: Process Improvement using Data
Description
Usage
Format
Source
References
Description
The data are from a solar panel simulation case study.
The original source that Box, Hunter and Hunter used is
http://www.sciencedirect.com/science/article/pii/0038092X67900515
A theoretical model for a commercial system was made. A 2^4 factorial
design was used (center point is not included in this dataset).
The factors are dimensionless groups (https://en.wikipedia.org/wiki/Dimensionless_quantity)
related to
A: total daily insolation,
B: the tank capacity,
C: the water flow through the absorber,
D: solar intermittency coming in.
The responses variables are
y1: collection efficiency, and
y2: the energy delivery efficiency.
The coded values for A, B, C, and D are given, with -1 representing
the low value and +1 the high value.
Usage
1
Format
A data.frame containing 16 observations of 6 variables (A, B, C, D, with y1 and y2 as responses.)
Source
Box, Hunter and Hunter, 2nd edition, Chapter 5, page 230.
References
Box, G. E. P. and Hunter, J. S. and Hunter, W. G., 2005, Statistics for
Experimenters, Second edition. Wiley."
pid documentation built on May 2, 2019, 2:22 a.m.
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Description Usage Format Source References
Description
The data are from a solar panel simulation case study.
The original source that Box, Hunter and Hunter used is http://www.sciencedirect.com/science/article/pii/0038092X67900515
A theoretical model for a commercial system was made. A 2^4 factorial design was used (center point is not included in this dataset).
The factors are dimensionless groups (https://en.wikipedia.org/wiki/Dimensionless_quantity)
related to
A: total daily insolation,
B: the tank capacity,
C: the water flow through the absorber,
D: solar intermittency coming in.
The responses variables are
y1: collection efficiency, and
y2: the energy delivery efficiency.
The coded values for A, B, C, and D are given, with -1 representing
the low value and +1 the high value.
Usage
1 |
Format
A data.frame containing 16 observations of 6 variables (A, B, C, D, with y1 and y2 as responses.)
Source
Box, Hunter and Hunter, 2nd edition, Chapter 5, page 230.
References
Box, G. E. P. and Hunter, J. S. and Hunter, W. G., 2005, Statistics for Experimenters, Second edition. Wiley."
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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