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 ...
"From this plot, we see that the first principal component is positively associated with longer times on the 1500. So, slower runners will have higher value on this component." ...
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