What are some common data manipulation functions in R?

In R, there are several common data manipulation functions that are frequently used by data analysts and programmers. These functions include dplyr functions such as filter(), select(), mutate(), summarise(), and arrange(), which allow users to subset, create new variables, and summarize data in a streamlined way. Other common functions include merge(), which allows users to combine datasets based on a common variable, and aggregate(), which enables users to summarize data at different levels. These functions are essential for data cleaning, transformation, and analysis in R.

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