| Name : R-PCADSC
| |
| Version : 0.8.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.15.1
| Date : 2024-06-07 11:59:02
|
| Group : Development/Libraries/Other
| Source RPM : R-PCADSC-0.8.0-lp155.15.1.src.rpm
|
| Size : 0.06 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Tools for Principal Component Analysis-Based Data Structure Comparisons
|
Description :
A suite of non-parametric, visual tools for assessing differences in
data structures for two datasets that contain different observations of
the same variables. These tools are all based on Principal Component
Analysis (PCA) and thus effectively address differences in the
structures of the covariance matrices of the two datasets. The PCASDC
tools consist of easy-to-use, intuitive plots that each focus on
different aspects of the PCA decompositions. The cumulative eigenvalue
(CE) plot describes differences in the variance components
(eigenvalues) of the deconstructed covariance matrices. The angle plot
presents the information loss when moving from the PCA decomposition of
one dataset to the PCA decomposition of the other. The chroma plot
describes the loading patterns of the two datasets, thereby presenting
the relative weighting and importance of the variables from the
original dataset.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
