| Name : R-LearnPCA
| |
| Version : 0.3.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.2.1
| Date : 2024-06-07 19:19:11
|
| Group : Development/Libraries/Other
| Source RPM : R-LearnPCA-0.3.4-lp155.2.1.src.rpm
|
| Size : 1.31 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)
|
Description :
Principal component analysis (PCA) is one of the most widely used data
analysis techniques. This package provides a series of vignettes
explaining PCA starting from basic concepts. The primary purpose is to
serve as a self-study resource for anyone wishing to understand PCA
better. A few convenience functions are provided as well.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
