'SciViews::R' - Exploratory Data Analysis

Multivariate analysis and data exploration for 'SciViews::R'. PCA, CA, MFA, K-Means clustering, hierarchical clustering, MDS...

Important functions

• pca() for Principal Component Analysis (PCA)

• ca() for Correspondence Analysis (CA)

• mfa() for Multiple Factor Analysis (MFA)

• k_means() for K-Means clustering

• dissimilarity for computing dissimilarity (distance) matrices

• cluster() for Hierarchical clustering

• mds() for metric and Non-metric MultiDimensional Scaling (MDS, NMDS)

See also

Useful links:

• https://github.com/SciViews/exploreit

• https://www.sciviews.org/exploreit/

• https://sciviews.r-universe.dev/exploreit

• Report bugs at https://github.com/SciViews/exploreit/issues

Author

Maintainer: Philippe Grosjean phgrosjean@sciviews.org (ORCID)