A simple PCA analysis in R

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Performing a principal component analysis with only few lines of R codes.

Prepare your data in the Microsoft Excel and run the code. Second column in the "sample_metadata" sheet will be used for coloring data points in the PCA plot.

Save file : click the export button to save the PCA plot in different image format.
  1. Dinesh Barupal
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file saved to pcaplot.pdf. But no content in the file.
Error in write.xlsx(l, "pcares.xlsx") :
could not find function "write.xlsx". I installed the writexl package and library still the error persists. Please help to rectify this problem.

KN-txsd
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cdf <- as.data.frame(readxl::read_xlsx("r101_test_data.xlsx", sheet = "data_dictionary"))
Error en utils::unzip(zip_path, list = TRUE):
archivo zip metabolómica\Tutorial PCA in R\R101\r101_test_data.xlsx' cannot be loaded

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