| Name : R-FactoMineR
| |
| Version : 2.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.6.1
| Date : 2024-09-30 20:54:16
|
| Group : Development/Libraries/Other
| Source RPM : R-FactoMineR-2.11-lp155.6.1.src.rpm
|
| Size : 3.67 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Multivariate Exploratory Data Analysis and Data Mining
|
Description :
Exploratory data analysis methods to summarize, visualize and describe
datasets. The main principal component methods are available, those
with the largest potential in terms of applications: principal
component analysis (PCA) when variables are quantitative,
correspondence analysis (CA) and multiple correspondence analysis (MCA)
when variables are categorical, Multiple Factor Analysis when variables
are structured in groups, etc. and hierarchical cluster analysis. F.
Husson, S. Le and J. Pages (2017).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
