MaxSkewThree: MaxSkew: skewness-based projection pursuit
In MaxSkew: Orthogonal Data Projections with Maximal Skewness
Description
Usage
Arguments
Details
Author(s)
References
Description
Finds Orthogonal Data Projections with Maximal Skewness for Trivariate Random Vectors
Usage
1
.MaxSkewThree(data, iterations)
Arguments
data
Data matrix where rows and columns represent units and variables.
iterations
Number of required iterations.
Details
It is an internal function called by MaxSkew
Author(s)
Cinzia Franceschini and Nicola Loperfido
References
de Lathauwer L., de Moor B.and Vandewalle J. (2000). Onthebestrank-1andrank-(R_1,R_2,...R_N) approximation of high-order tensors. SIAM Jour. Matrix Ana. Appl. 21, 1324-1342.
Loperfido, N. (2010). Canonical Transformations of Skew-Normal Variates. Test 19, 146-165.
Loperfido, N. (2013). Skewness and the Linear Discriminant Function. Statistics and Probability Letters 83, 93-99.
Malkovich, J.F. and Afifi, A.A. (1973). On Tests for Multivariate Normality. J. Amer. Statist. Ass. 68, 176-179
MaxSkew documentation built on May 2, 2019, 8:26 a.m.
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Description Usage Arguments Details Author(s) References
Description
Finds Orthogonal Data Projections with Maximal Skewness for Trivariate Random Vectors
Usage
1 | .MaxSkewThree(data, iterations)
|
Arguments
data |
Data matrix where rows and columns represent units and variables. |
iterations |
Number of required iterations. |
Details
It is an internal function called by MaxSkew
Author(s)
Cinzia Franceschini and Nicola Loperfido
References
de Lathauwer L., de Moor B.and Vandewalle J. (2000). Onthebestrank-1andrank-(R_1,R_2,...R_N) approximation of high-order tensors. SIAM Jour. Matrix Ana. Appl. 21, 1324-1342.
Loperfido, N. (2010). Canonical Transformations of Skew-Normal Variates. Test 19, 146-165.
Loperfido, N. (2013). Skewness and the Linear Discriminant Function. Statistics and Probability Letters 83, 93-99.
Malkovich, J.F. and Afifi, A.A. (1973). On Tests for Multivariate Normality. J. Amer. Statist. Ass. 68, 176-179
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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