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Jan 21st, 2017
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  1. pca.pca <- function(name){
  2. pca_result <<- prcomp(name, scale=T)
  3. pca_result
  4. }
  5.  
  6. pca.summary <- function(name){
  7. summary(name)
  8. }
  9.  
  10. pca.biplot <- function(name){
  11. biplot(name)
  12. }
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