class TQPCA: public TQNamedTaggable

 default constructor

 default constructor

 destructor

 control the use of the Bessel correction
 for the calculation of the (co)variance,
 i.e. the use of 1/(n-1) instead of 1/n
 in the (co)variance formula

 clear all data
 the user needs to call TQPCA::init to reinitialize
 before re-use of the instance is sensible

 retrieve the number of dimensions

 retrieve the total sum of weights

 retrieve the total number of entries

 retrieve an info-string

 initialize the object based on given dimensionality

 print some information about the object

 fill values from a std::vector<double>

 fill values from an array

 retrieve the covariance matrix

 retrieve the correlation matrix

 retrieve the TVectorD of all eigenvectors

 retrieve the i-th eigenvalue as a double

 retrieve the TMatrixD of all eigenvectors

 retrieve the i-th eigenvector as a TVectorD

 delete all matrix operation results and reset the calculation status

 calculate the eigenvectors and eigenvalues

 calculate the eigenvectors and eigenvalues
 from the correlation matrix instead of the covariance matrix

 add another TQPCA instance to this one

 add two objects of type TQPCA

 scale the entries with some given factor

 print any matrix to std::cout, nicely formatted

 print the covariance matrix to std::cout, nicely formatted

 print the correlation matrix to std::cout, nicely formatted

 print the results to std::cout, nicely formatted

 retrieve the gaussian variance on variable i

 retrieve the weighted mean

 retrieve the gaussian variance on principal component i

 retrieve the mean of the principal component i

 retrieve the arithmetic expression for the projection
 onto the principal component with the given index
 if normalize is true, the prefactors will be normalized
 to their respective dimensional weighted averages

 evaluate the projection of the given coordinates
 onto the principal component with the given index
 if normalize is true, the prefactors will be normalized
 to their respective dimensional weighted averages

 retrieve the arithmetic expression for the projection
 onto the input variable with the given index
 if normalize is true, the prefactors will be normalized
 to their respective dimensional weighted averages

 evaluate the projection of the given coordinates
 onto the input variable with the given index
 if normalize is true, the prefactors will be normalized
 to their respective dimensional weighted averages

 retrieve the definition string for a 2d histogram

 retrieve the definition string for a 2d histogram in normalized coordinates

 retrieve the definition string for a histogram

 retrieve the definition string for a histogram in normalized coordinates

 export the TQPlotter tags required to draw the Eigen coordinate system

 export the TQPlotter tags required to draw the Eigen coordinate system

 export the TQPlotter tags required to draw the Eigen coordinate system

 export the TQPlotter tags required to draw the Eigen coordinate system

 export the TQPlotter tags required to draw the Eigen coordinate system

 export the TQPlotter tags required to draw the Eigen coordinate system