On the other hand, the mv() function from the gdata package provides a more streamlined approach to renaming variables. The <- and rm() combination is a built-in method and does not require additional package installations. The choice between using the <- and rm() combination or the mv() function from the gdata package largely depends on your specific needs and preferences. In conclusion, there are multiple ways to rename a variable in R, including both built-in solutions and third-party packages like gdata. # Create a named vector with old names as names and new names as values name_map <- setNames (newNames, oldNames) # Batch rename variables with mv() for (name in names (name_map)) The object will not be deleted from memory as long as y still refers to it. In this case, you can still access the object using the name y. If there are other variables still pointing to the same object, the object will remain in memory until all bindings are removed, or the R session is closed. However, this does not necessarily delete the object itself from memory. When you run the command rm(x), the name x is removed from the workspace, and the binding between the name x and its associated object is broken. This function takes one or more object names as its arguments and clears them from the environment, freeing up memory. The rm() function in R is used to remove objects from the workspace. To complete the renaming process, you should remove the name x with rm(), leaving y as the sole reference to our value. This means there is only one object with the value “ Data Storages” in memory, and both x and y both refer to it. # Get x's memory address tracemem (x) # Output "" # Get y's memory address tracemem (y) # Output ""Īs you can see, y has the memory address as x.
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