What is the difference between rm and rm list ls

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The majority of items I've read. They advise using rm(list=ls()), but I'm not sure what the difference is if I choose to do so ()

Can I clear every variable by using rm() rather than rm(list=ls())?

I would appreciate some advice. Thanks
Jul 6, 2022 in Data Analytics by avinash
• 1,840 points
284 views

1 answer to this question.

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Yes, you can clear all variables in your R workspace by using either rm() or rm(list = ls()). The main difference lies in how you specify the variables to be removed:

  1. rm() without any arguments: When you use rm() without any arguments, it clears all variables from the current workspace.

Example: rm()

  1. rm(list = ls()): This command explicitly lists all the variables in the current workspace using ls(), and rm() removes them accordingly.

Example: rm(list = ls())

Both methods achieve the same outcome of removing all variables. However, using rm(list = ls()) provides explicit control by specifying the variable list, which can be useful in scenarios where you want to retain certain variables while removing others. On the other hand, using rm() without arguments offers a more concise way to clear all variables without specifying each variable name individually.

Choose the method that suits your needs and workflow preferences.

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answered Jun 22, 2023 by anonymous
• 1,180 points

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