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assignment week 13
spatial_book
R codes for spatial_book - 2nd edition of ''Applied Spatial Statistics And Econometrics: Data Analysis in R' (Routledge, 2026) (ed. K.Kopczewska)
PCA analysis in R of the Lyme disease data of gene expression with a 28k feature space
This is an extension to the randomForest analysis of a 28k feature dataset of gene expression data to find top genes. This function, prcomp, in R is part of the base library of functions that can do principal component analysis or PCA to find the components that explain the error or noise or variance in the data that prevents a line in multidimensional space being fit to all the 28k features. It cannot predict the exact gene or top genes as based on the error space and so can predict the class if tuned well if wanting only to have a predicting model to identify class of infectios stage or healthy samples only. Won't be beneficial to gene therapy in personalized gene therapeutics other than identifiying the samples working with.
