Renaming a specific column which satisfies certain condition can be done using rename_if() function. Rename a column with condition using rename_if() function in dplyr R: Rename the column name “Tree” with “Tree_Type” Orange_df = Orange %>% rename_at(vars(starts_with('T')),įuns(str_replace(., 'Tree', 'Tree_Type'))) This is accomplished by using rename_at() function along with str_replace() Function as shown below. In our Example we will rename the Column that starts with “T”. Rename a specific column that starts with certain character. Rename like using rename_at() function dplyr R: Rename the column name “age” with “Life_of_tree” Orange_df = Orange %>% rename(Life_of_tree = age) rename() function takes following rename condition new_name = old_name. Rename the column name using rename function along with pipe operator in dplyr. # Rename multiple columns of the dataframe at once we will be passing the column names to be replaced in a vector as shown below. rename() function takes dataframe as argument followed by new_name = old_name. Renaming the multiple columns at once can be accomplished using rename() function. Rename Multiple column at once using rename() function: Rename the column name “age” with “Life_of_tree”. Orange_df = rename(Orange, Life_of_tree = age) # Rename the column name of the dataframe Rename the column name using rename function in dplyr.

Rename the column name in R using rename() function : We will be using Orange data to depict the rename of column variable.

R aggregate rename x