![]() Specifically, we will be learning how to use the 6 core functions or “verbs” of the popular dplyr package to:įilter rows using logical tests with values of specified columns. The 4th post in the Scientist’s Guide to R series introduces data transformation techniques useful for wrangling/tidying/cleaning data, which often takes longer than any other step in the data analysis process.
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