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Functions | |
template<typename T1 > | |
const Op< T1, op_princomp > | princomp (const Base< typename T1::elem_type, T1 > &X, const typename arma_blas_type_only< typename T1::elem_type >::result *junk=0) |
template<typename T1 > | |
bool | princomp (Mat< typename T1::elem_type > &coeff_out, const Base< typename T1::elem_type, T1 > &X, const typename arma_blas_type_only< typename T1::elem_type >::result *junk=0) |
principal component analysis -- 1 argument version coeff_out -> principal component coefficients | |
template<typename T1 > | |
bool | princomp (Mat< typename T1::elem_type > &coeff_out, Mat< typename T1::elem_type > &score_out, const Base< typename T1::elem_type, T1 > &X, const typename arma_blas_type_only< typename T1::elem_type >::result *junk=0) |
principal component analysis -- 2 arguments version coeff_out -> principal component coefficients score_out -> projected samples | |
template<typename T1 > | |
bool | princomp (Mat< typename T1::elem_type > &coeff_out, Mat< typename T1::elem_type > &score_out, Col< typename T1::pod_type > &latent_out, const Base< typename T1::elem_type, T1 > &X, const typename arma_blas_type_only< typename T1::elem_type >::result *junk=0) |
principal component analysis -- 3 arguments version coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors | |
template<typename T1 > | |
bool | princomp (Mat< typename T1::elem_type > &coeff_out, Mat< typename T1::elem_type > &score_out, Col< typename T1::pod_type > &latent_out, Col< typename T1::elem_type > &tsquared_out, const Base< typename T1::elem_type, T1 > &X, const typename arma_blas_type_only< typename T1::elem_type >::result *junk=0) |
principal component analysis -- 4 arguments version coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors tsquared_out -> Hotelling's T^2 statistic |
const Op<T1, op_princomp> princomp | ( | const Base< typename T1::elem_type, T1 > & | X, | |
const typename arma_blas_type_only< typename T1::elem_type >::result * | junk = 0 | |||
) | [inline] |
Definition at line 178 of file fn_princomp.hpp.
bool princomp | ( | Mat< typename T1::elem_type > & | coeff_out, | |
const Base< typename T1::elem_type, T1 > & | X, | |||
const typename arma_blas_type_only< typename T1::elem_type >::result * | junk = 0 | |||
) | [inline] |
principal component analysis -- 1 argument version coeff_out -> principal component coefficients
Definition at line 147 of file fn_princomp.hpp.
bool princomp | ( | Mat< typename T1::elem_type > & | coeff_out, | |
Mat< typename T1::elem_type > & | score_out, | |||
const Base< typename T1::elem_type, T1 > & | X, | |||
const typename arma_blas_type_only< typename T1::elem_type >::result * | junk = 0 | |||
) | [inline] |
principal component analysis -- 2 arguments version coeff_out -> principal component coefficients score_out -> projected samples
Definition at line 111 of file fn_princomp.hpp.
bool princomp | ( | Mat< typename T1::elem_type > & | coeff_out, | |
Mat< typename T1::elem_type > & | score_out, | |||
Col< typename T1::pod_type > & | latent_out, | |||
const Base< typename T1::elem_type, T1 > & | X, | |||
const typename arma_blas_type_only< typename T1::elem_type >::result * | junk = 0 | |||
) | [inline] |
principal component analysis -- 3 arguments version coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors
Definition at line 72 of file fn_princomp.hpp.
bool princomp | ( | Mat< typename T1::elem_type > & | coeff_out, | |
Mat< typename T1::elem_type > & | score_out, | |||
Col< typename T1::pod_type > & | latent_out, | |||
Col< typename T1::elem_type > & | tsquared_out, | |||
const Base< typename T1::elem_type, T1 > & | X, | |||
const typename arma_blas_type_only< typename T1::elem_type >::result * | junk = 0 | |||
) | [inline] |
principal component analysis -- 4 arguments version coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors tsquared_out -> Hotelling's T^2 statistic
Definition at line 30 of file fn_princomp.hpp.