We don't want to overcrowd the R Studio environment, so we want to remove this data frame.

So we created the sample table and (assume) we gathered all the information and statistics we need for further analysis. If you have your own in a csv or excel files, you can follow the same procedure to arrive at the result. Note: in this article I create my own dataset. We have just created a 2x2 data frame and we can take a look at it using the following code: You can create these sample data frame using the following code: You can even create a blank data frame and it will work the same way 🙂

Note: it doesn’t matter what you will fill your data frame with, because in this article what we are going to learn is how to remove it from the R Studio environment. Here, “object” refers to either a table, or a data frame, or any other data structure you would like to remove from the environment in R Studio.įor the purpose of this article I will create one data frame (table) with two variables: “id” and “name”. The short theoretical explanation of the function is the following: remove(object1, object2. To clean up the environment/workspace in R Studio, we will need to remove the extra data frames we won’t be using further.īelow are the steps we are going to take to make sure we do master the skill of removing data frames in R: Now we have the table we will be working with for the analysis part.īut we also have the R Studio environment filled with the raw data frames we already don’t need. Then we figure out the variables we need, and do the merging (for example, we do inner merge of the data frames). It is often the case, when importing data into R, that we have more than one or two data frames with raw data. In this article we will work on learning how to remove data frame in R using remove() command.

How to clear data in r