Rename the column name in R using Dplyr. We will  now try to modify only those column names from the tbl, where the names end with the string “Time”.First, let us select those specific columns  and save it as tbl_times.Now , tbl_times contains four columns DepTime, ArrTime, ActualElapsedTime and  AirTime.Let’s try to modify DepTime column name to DepartureTime by using r dplyr rename column.Verify the column names after applying the dplyr rename() function.Remember that unless you save the changes back to a variable , the changes made to a dataframe using dplyr operations doesn’t come into effect.So, if you want the renamed column name to be applied to your tibble, you will need to save it back to a variable again.We can use dplyr select to rename a dataframe column  as well.But the main difference is that, dplyr select() keeps only the variable you specify; dplyr rename() keeps all variables of dataframe intact.What I mean is , if my dataframe has col1, col2, col3 and col4, and I am modifying col1 to column1 using select, then only column1 will be present in the resulting dataframe.If I use rename() , then column1, col2, col3, and col4 will be present in the resulting dataframe. #> 5.4 3.9 1.7 0.4 setosa I have found that using dplyr rename, just like other dplyr functions, is the most intuitive and easiest.As a first step, let us install dplyr and hflights packages.Please go through Post successful installation, load dplyr and hflights in R Studio console using library() function. All rights reserved The basic syntax for doing so is as follows: data %>% rename(new_name1 = old_name1, new_name2 = old_name2, ....) For example, here is how to rename the “mpg” and “cyl” column names in the mtcars dataset: Would you like to rename all columns of your data frame? With dplyr, it’s super easy to rename columns within your dataframe. #> 5.1 3.5 1.4 0.2 setosa #> 4.7 3.2 1.3 0.2 setosa #> 5.4 3.9 1.7 0.4 setosa With dplyr, it’s super easy to rename columns within your dataframe. View source: R/rename.R. #> 4.6 3.4 1.4 0.3 setosa I can rename this ‘assignee.login’ column before removing all the columns that start with ‘assignee’ together. Columns that aren’t mentioned in the rename() call are simply left untouched while using dplyr rename().See an example here below. Renaming Columns Using dplyr. #> 4.9 3 1.4 0.2 setosa Well this is easily done too. #> 4.9 3 1.4 0.2 setosa With dplyr, it’s super easy to rename columns within your dataframe. from dbplyr or dtplyr). #> Sepal.Length Sepal.Width PETAL.LENGTH PETAL.WIDTH Species #> 4.9 3 1.4 0.2 setosa We will be using mtcars data to depict the re name of column variable. Where You can learn more about programming with tidy selection in #> 4.4 2.9 1.4 0.2 setosa a tibble), or a lazy data frame (e.g. #> 4.6 3.1 1.5 0.2 setosa #> 5.4 3.9 1.7 0.4 setosa dplyr 1.0.0 is coming soon, and last week we showed how summarise() is growing.Today, I wanted to talk a little bit about functions for selecting, renaming, and relocating columns. Another way to rename columns in R is by using the rename() function in the dplyr package. #> 5 3.6 1.4 0.2 setosa We will use tbl_df() function to generate a tibble called tbl from hflights. example: (is not working)