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If you want to get rid of just the data and nothing else, you can use the command drop all. The drop command is used to remove variables or observations from the dataset in memory. If you want to drop variables, use drop varlist. If you want to drop observations, use drop with an if or an in qualifier or both.

Method I : subset() function The most easiest way to remove columns is by using subset() function. In the code below, we are telling R to drop variables x and z. The '-' sign indicates dropping variables. Make sure the variable names would NOT be specified in quotes when using subset() function.

The select() function of dplyr package is used to select variable names from the R data frame. Use this function if you wanted to select the data frame variables by index or position.

Within() will take two parameters, the first parameter is the data frame name and the second parameter takes the rm() method which is used to delete variables by taking column names from the R data frame. Syntax: #Syntax to drop columns using within() within(df, rm("column_name1","column_name2",.....)

Here are 3 ways to remove a single column in a DataFrame in R: Using subset() df <- subset(df, select = -column_name_to_remove ) Using the indexing operator [] df <- df[, -which(names(df) == "column_name_to_remove" )] Using the column index: df <- subset(df, select = -column_index_to_remove )

The select() function from the dplyr package can be used to delete multiple columns from a data frame in R. The select() function takes a minus sign (-) before the column name to specify that the column should be removed. You can specify as many column names as you want in this way to delete them.