getPP3projdata: Extract projected data from a PP3 object.
In PP3: Three-Dimensional Exploratory Projection Pursuit
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Extract projected data solution from a PP3 object.
Usage
1
getPP3projdata(PP3, number)
Arguments
PP3
The PP3 object you wish to get information from
number
The solution number you want to know about
Details
The projected data associated with a projection solution
(out of the nrandstarts that were executed by
PP3many)) can be extracted using this function.
Value
The three-dimensional projected data associated with projection
solution number. This is a matrix of three rows
(one for each projected direction) versus N columns, where
N is the number original cases.
Author(s)
G. P. Nason
References
Friedman, J.H. and Tukey, J.W. (1974) A projection pursuit algorithm
for exploratory data analysis. IEEE Trans. Comput.,
23, 881-890.
Jones, M.C. and Sibson, R. (1987) What is projection pursuit? (with discussion)
J. R. Statist. Soc. A, 150, 1-36.
Nason, G. P. (1995) Three-dimensional projection pursuit.
J. R. Statist. Soc. C, 44, 411-430.
Nason, G. P. (2001) Robust projection indices.
J. R. Statist. Soc. B, 63, 551-567.
See Also
Examples
1
2
3
#
# See example for getPP3index in the help for PP3many. This function
# works similarly except that projected observations are returned.
PP3 documentation built on May 2, 2019, 8:57 a.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Extract projected data solution from a PP3 object.
Usage
1 | getPP3projdata(PP3, number)
|
Arguments
PP3 |
The PP3 object you wish to get information from |
number |
The solution number you want to know about |
Details
The projected data associated with a projection solution
(out of the nrandstarts that were executed by
PP3many)) can be extracted using this function.
Value
The three-dimensional projected data associated with projection
solution number. This is a matrix of three rows
(one for each projected direction) versus N columns, where
N is the number original cases.
Author(s)
G. P. Nason
References
Friedman, J.H. and Tukey, J.W. (1974) A projection pursuit algorithm for exploratory data analysis. IEEE Trans. Comput., 23, 881-890.
Jones, M.C. and Sibson, R. (1987) What is projection pursuit? (with discussion) J. R. Statist. Soc. A, 150, 1-36.
Nason, G. P. (1995) Three-dimensional projection pursuit. J. R. Statist. Soc. C, 44, 411-430.
Nason, G. P. (2001) Robust projection indices. J. R. Statist. Soc. B, 63, 551-567.
See Also
Examples
1 2 3 | #
# See example for getPP3index in the help for PP3many. This function
# works similarly except that projected observations are returned.
|
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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