Discover the power of cluster analysis in R with this comprehensive blog post. Learn the essential techniques, interpret the results, and gain valuable insights from your data.

MANOVA (Multivariate analysis of variance) is an extension of ANOVA (Analysis of Variance) technique, which is used to compare means across different groups for a single dependent variable. In MANOVA, the dependent variables are correlated, and the analysis takes into account their…

PCA is a technique to transform the original set of variables into a smaller set of linear combination of variables so that most of the statistical information is preserved by those linear combinations. Before diving into the PCA, there are a few things one should be aware of…