How do I select a column in R Dplyr?
Category:
technology and computing
databases
Select columns by typing their names
You can use “-” (minus) to drop columns. All you need to do is to add '-' (minus) right before the columns you want to drop. It's that simple. Notice that the last column name inside the 'select()' function where I'm using “`” (back-tick) to surround “NA” characters.
Keeping this in consideration, how do I select a column in R?
Select Data Frame Columns in R
- pull(): Extract column values as a vector.
- select(): Extract one or multiple columns as a data table.
- select_if(): Select columns based on a particular condition.
- Helper functions - starts_with(), ends_with(), contains(), matches(), one_of(): Select columns/variables based on their names.
In this way, how do I select a subset of data in R?
So, to recap, here are 5 ways we can subset a data frame in R:
- Subset using brackets by extracting the rows and columns we want.
- Subset using brackets by omitting the rows and columns we don't want.
- Subset using brackets in combination with the which() function and the %in% operator.
- Subset using the subset() function.
Summary of just the indexing operator
- Its primary purpose is to select columns by the column names.
- Select a single column as a Series by passing the column name directly to it: df['col_name']
- Select multiple columns as a DataFrame by passing a list to it: df[['col_name1', 'col_name2']]