Abstract: In microarray/RNAseq experiments, different samples used in the same experiment may have significant levels of heterogeneity. Here, heterogeneity refers to the unique temporospatial ...

diet_scaled <- scale(diet_and_food_df %>% select(all_of(indices_names))) food_scaled <- scale(diet_and_food_df %>% select(all_of(foods_names))) df_scaled <- scale ...

Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction in data analysis and machine learning. It aims to transform high-dimensional data into a ...

Circles represent honey samples from Montesinho Natural Park (MNP), triangles represent honey samples from the boundary’s limits of the MNP (red triangles, M2; yellow triangles, M1) and squares ...

I have made a PCA biplot using the fviz_pca_biplot() function. I would like to be able to scale the arrow lengths in the resulting plot. I have seen that setting the width is possible in #37. is ...