Cells from different regions and types varies in size and shape. I have defined 11 regions and measured cells. Pairwise comparison indicated some significant differences between region, which I expected. I need help as to how to characterize regions based on the statistical data? Also to find variable importance for each region. For example region 1 has round and small cells compared with region 2 having larger cells and elongated.
I am using R for my data analysis. The region is nominal variable and both shape and size variables are numeric variables organized in a dataframe table.
I will use a simple principal component analysis (to know variables importance) coupled with hierarchical clustering (to know variables importance in each region). In R, many package can provides these two multivariate analysis such as FactoMineR package.
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