centers.interval: Compute centers of the interval
In PROMiDAT/RSDA: R to Symbolic Data Analysis
View source: R/centers_interval.R
centers.interval R Documentation
Compute centers of the interval
Description
Compute centers of the interval
Usage
centers.interval(sym.data)
Arguments
sym.data
Symbolic interval data table.
Value
Centers of teh intervals.
Author(s)
Jorge Arce.
References
Arce J. and Rodriguez O. (2015) 'Principal Curves and Surfaces to Interval Valued Variables'.
The 5th Workshop on Symbolic Data Analysis, SDA2015, Orleans, France, November.
Hastie,T. (1984).Principal Curves and Surface. Ph.D Thesis Stanford University.
Hastie,T. & Weingessel,A. (2014).
princurve - Fits a Principal Curve in Arbitrary Dimension.R package version 1.1–12
http://cran.r-project.org/web/packages/princurve/index.html.
Hastie,T. & Stuetzle, W. (1989). Principal Curves.
Journal of the American Statistical Association, Vol. 84-406, 502–516.
Hastie, T., Tibshirani, R. & Friedman, J. (2008).
The Elements of Statistical Learning; Data Mining, Inference and Prediction. Springer, New York.
See Also
sym.interval.pc
PROMiDAT/RSDA documentation built on Sept. 14, 2023, 9:16 p.m.
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View source: R/centers_interval.R
| centers.interval | R Documentation |
Compute centers of the interval
Description
Compute centers of the interval
Usage
centers.interval(sym.data)
Arguments
sym.data |
Symbolic interval data table. |
Value
Centers of teh intervals.
Author(s)
Jorge Arce.
References
Arce J. and Rodriguez O. (2015) 'Principal Curves and Surfaces to Interval Valued Variables'. The 5th Workshop on Symbolic Data Analysis, SDA2015, Orleans, France, November.
Hastie,T. (1984).Principal Curves and Surface. Ph.D Thesis Stanford University.
Hastie,T. & Weingessel,A. (2014). princurve - Fits a Principal Curve in Arbitrary Dimension.R package version 1.1–12 http://cran.r-project.org/web/packages/princurve/index.html.
Hastie,T. & Stuetzle, W. (1989). Principal Curves. Journal of the American Statistical Association, Vol. 84-406, 502–516.
Hastie, T., Tibshirani, R. & Friedman, J. (2008). The Elements of Statistical Learning; Data Mining, Inference and Prediction. Springer, New York.
See Also
sym.interval.pc
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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